PUBLICATIONS

“The joy of discovery is certainly the liveliest that the mind of man can ever feel”

- Claude Bernard -

163 Journal . 232 Conference . 50 Book or book chapter . 2 Other
Total 450

2018

  

  1. Tengyue Li, Simon Fong, Luis Moutinho, Future Generation of Unmanned Retails and Algorithm-Self, Eighth International Innovative Computing Technology (INTECH 2018), IEEE, August 15-17, 2018, Luton, UK, pp.168-172.
     

  2. Jay Pancham, Richard Millham, Simon James Fong, Analysis of Bluetooth Low Energy Detection Range Improvements for Indoor Environments, International Conference on Computational Science (ICCS 2018). Computational Science – ICCS 2018, Lecture Notes in Computer Science, vol 10862. Springer, Cham. pp. 598-609.
     

  3. Joao Alexandre Lobo Marques, Paulo C. Cortez, Joao P. V. Madeiro, Victor Hugo C. de Albuquerque, Simon Fong, and Fernando S. Schlindwein, Nonlinear Characterization and Complexity Analysis of Cardiotocographic Examinations using Entropy MeasuresJournal of Supercomputing, Springer. Accepted for publication.  (Impact factor 1.532)
     

  4. Saif Ur Rehman, Sohail Asghar, Simon James Fong, Optimized and Frequent Subgraphs: How Are They Related? IEEE Access, Volume 6, 25 June 2018, pp.37237-37249.   (Impact factor 3.557)
     

  5. Xueyuan Gong, Simon Fong, Yain-Whar Si, Fast multi-subsequence monitoring on streaming time-series based on Forward-propagation, Information Sciences, Elsevier, Volume 450, June 2018, pp. 73-88.   (Impact factor 4.305)
     

  6. Wei Song, Ning Feng, Yifei Tian, Simon Fong, Kyungeun Cho, A Deep Belief Network for Electricity Utilisation Feature Analysis of Air Conditioners Using a Smart IoT Platform, Journal of Information Processing Systems, Feb 2018, Vol. 14 Issue 1, pp.162-175.   (ESCI)
     

  7. Kairong Duan, Simon Fong, Shirley W. I. Siu, Wei Song and Steven Sheng-Uei Guan, Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments, Symmetry 2018. , 10(5), 168.   (Impact factor 1.256)
     

  8. Kairong Duan, Simon Fong, Yan Zhuang and Wei Song, Artificial Neural Networks in Coordinated Control of Multiple Hovercrafts with Unmodeled Terms, Appl. Sci. 2018, 8(6), 862.   (Impact factor 1.689)
     

  9. Kairong Duan, Simon Fong, Wei Song, Athanasios V. Vasilakos and Raymond Wong, Energy-Aware Cluster Reconfiguration Algorithm for the Big Data Analytics Platform Spark, Sustainability 2017, 9(12), 2357.   (Impact factor 2.057)
     

  10. Rui Tang, Simon Fong, Suash Deb, Athanasios V.Vasilakos, Richard C Millham, Dynamic group optimisation algorithm for training feed-forward neural networks, Neurocomputing, Elsevier, 15 June 2018, pp.1-19.   (Impact factor 3.241)
     

  11. Kun Lan, Dan-tong Wang, Simon Fong, Lian-sheng Liu, Kelvin K. L. Wong, Nilanjan Dey, A Survey of Data Mining and Deep Learning in Bioinformatics, Journal of Medical Systems. Springer, August 2018, 42:139.   (Impact factor 2.098)
     

  12. Luying Cao, Nilanjan Dey, Amira S. Ashour, Simon Fong, R. Simon Sherratt, Lijun Wu, Fuqian Shi, Diabetic Plantar Pressure Analysis Using Image Fusion, Multimedia Tools and Applications. Springer, 05 July 2018, pp. 1–24.  (Impact factor 1.541)
     

  13. Nilanjan Dey, Amira Ashour, Simon Fong, Fuqian Shi, Medical Cyber-physical Systems: A Survey, Journal of Medical Systems. April 2018, 42:74.  (Impact factor 2.098)
     

  14. Zhonghuan Tian, Simon Fong, Suash Deb, Rui Tang, Raymond Wong, Vitality-based Elephant Search Algorithm, Operational Research, Springer, pp. 1–23.  (Impact factor 1.816)
     

  15. Suash Deb, Zhonghuan Tian, Simon Fong, Rui Tang, Raymond Wong, Nilanjan Dey, Solving Permutation Flow Shop Scheduling Problem by Rhinoceros Search Algorithm, Soft Computing, Number 2018, Volume 22, Issue 18, pp.6025–6034.  (Impact factor 2.472)
     

  16. Zhonghuan Tian, Simon Fong, Raymond Wong, Richard Millham, and Kelvin K. L. Wong, Elephant Search Algorithm Applied to Data Clustering, Soft Computing, Springer, 2018, Accepted for publication.  (Impact factor 2.472)
     

  17. Ricardo Brito, Simon Fong, Yaoyang Wu, A Novel Algorithm for Neural Network Architecture Generation, Parameter Optimization and Feature Selection – ParFeatArch Generator, 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2018), Phuket, Thailand, March 24-25, 2018. Accepted for publication.
     

  18. Chen Wei, Zhichen Yu, Simon Fong, How to Build a Chatbot: Chatbot Framework and its Capabilities, 10th International Conference on Machine Learning and Computing (ICMLC 2018), February 26-28, 2018, Macau, China. Accepted for publication.
     

  19. Saif Ur Rehman, Sohail Asghar, Simon Fong, An Efficient Ranking Scheme for Frequent Subgraph Patterns, 10th International Conference on Machine Learning and Computing (ICMLC 2018), February 26-28, 2018, Macau, China. Accepted for publication.
     

  20. Simon Fong, Robert P. Biuk-Aghai, Richard C. Millham, Swarm Search Methods in Weka for Data Mining, 10th International Conference on Machine Learning and Computing (ICMLC 2018), February 26-28, 2018, Macau, China. Accepted for publication.
     

  21. Binbin Ma, Simon Fong, Yan Zhuang, Richard C. Millham, Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms, 2018 Conference on Information Communications Technology and Society (ICTAS), Durban, South Africa, 8 and 9 March 2018. Accepted for publication.
     

  22. Pratiti Bhadra, Jielu Yan, Jinyan Li, Simon Fong and Shirley W. I. Siu, AmPEP: Sequence-based Prediction of Antimicrobial Peptides Using Distribution Patterns of Amino Acid Properties and Random Forest, Scientific Reports, Nature, Volume 8, Article number: 1697 (2018), pp.1-10. (Impact factor 4.259)
     

  23. Cunlei Wang, Zairan Li, Nilanjan Dey, Amira S. Ashour, Simon James Fong, R. S. Sherratt, Lijun Wu, and Fuqian Shi, Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine, Journal of Medical Imaging and Health Informatics. 17-1889-R. ISSN 2156-7018 (In Press). (Impact factor 0.621)
     

  24. Ganesh Chandra Deka and Richard Millham, Research Trends in Bioinspired Algorithms for Big Data Analytics, CRC Press, Taylor & Francis Group, 2018 (Project in progress).
     

  25. Series Editors: Xin-She Yang, Nilanjan Dey, Simon Fong, Tracts in Nature-Inspired Computing (STNIC), ISSN: 2524-552X (Project in progress).
     

  26. Rui Tang, Simon Fong, Nilanjan Dey, Metaheuristics and Chaos Theory, Intech, Chapter 10, 2018-03-28, DOI: 10.5772/intechopen.72103.
     

  27. Nilanjan Dey, Amira S. Ashour, Simon James Fong, U-Healthcare Monitoring Systems: Design and Applications, Volume 1 or 3 Book series of Advances in ubiquitous sensing applications for healthcare, 2018, Associate Press, ISBN: 9780128153703.
     

  28. Simon Fong, Jiaxue Li, Wei Song, Yifei Tian, Raymond K. Wong, Nilanjan Dey, Predicting Unusual Energy Consumption Events from Smart Home Sensor Network by Data Stream Mining with Misclassified Recall, Journal of Ambient Intelligence and Humanized Computing, Springer, 20 February 2018, pp 1–25. (Impact factor 1.588)
     

  29. Qun Song, Simon Fong, Suash Deb and Thomas Hanne, Gaussian Guided Self-Adaptive Wolf Search Algorithm Based on Information Entropy Theory, Entropy 2018, MDPI, 20(1), 37, 10 January 2018. (Impact factor 1.821)

     

2017

  

  1. Jinyan Li, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Yunsick Sung, A Suite of Swarm Dynamic Multi-Objective Algorithms for Rebalancing Extremely Imbalanced Datasets, Applied Soft Computing, Elsevier, November 2017. Article in press. (Impact factor 3.541)
     

  2. Nilanjan Dey, Amira S. Ashour, Fuqian Shi, Simon James Fong, R. Simon Sherratt, Developing residential wireless sensor networks for ECG healthcare monitoring, IEEE Transactions on Consumer Electronics, Volume 63, Issue 4, November 2017, pp.442-449. (Impact factor 1.694)
     

  3. Jue Wang, Simon Fong, Aidong Xu, Hang Yang, Sunny Seon-phil Jeong, Airport Big Data Analysis: Case of Passenger Traffic Data of a Large and Busy Airport, The 5th International Conference on Big Data Applications and Services, November 23-25, 2017, Jeju Island, South Korea. Accepted for Publication.
     

  4. Simon Fong, Big Data Mining Algorithms for Fog Computing, International Conference on Big Data and Internet of Things (BDIOT2017), ACM, ISBN: 978-1-4503-5430-1, Dec 2017. Accepted for publication.
     

  5. Jinkun Han, Yifei Tian, Wei Song, Simon Fong, An Implementation of VR Chemistry Experiment System, International Conference on Big Data and Internet of Things (BDIOT2017), ACM, ISBN: 978-1-4503-5430-1, Dec 2017. Accepted for publication.
     

  6. Wei Song, Shuanghui Zou, Yifei Tian, Chen Li, Su Sun, Simon Fong, A DCT-based Information Hiding Method for Network Authentication, International Conference on Big Data and Internet of Things (BDIOT2017), ACM, ISBN: 978-1-4503-5430-1, Dec 2017. Accepted for publication.
     

  7. Chen Li, Mengti Liang, Ke Xiao, Simon Fong, Qianli Wang, Human body and face detection based anti-shoulder attack system on ATM, International Conference on Big Data and Internet of Things (BDIOT2017), ACM, ISBN: 978-1-4503-5430-1, Dec 2017. Accepted for publication.
     

  8. Chen Li, Yanjie Wang, Simon Fong, Chenhui Duan, Facial Feature Based Secure Information Transmission, International Conference on Big Data and Internet of Things (BDIOT2017), ACM, ISBN: 978-1-4503-5430-1, Dec 2017. Accepted for publication.
     

  9. Jiaxue Li, Song Wei and Simon Fong, Real-time Analysis and Visualization for Big Data of Energy Consumption, International Conference on Software and e-Business (ICSEB 2017), Hong Kong, China, December 16-18 2017. Accepted for publication.
     

  10. Jay Pancham, Richard Millham, Simon James Fong, Assessment of Feasible Methods Used by the Health Care Industry for Real Time Location, Position papers of the Federated Conference on Computer Science and Information Systems, pp. 129–134.
     

  11. Jinyan Li, Simon Fong, Shimin Hu, Victor W. Chu, Raymond K. Wong, Sabah Mohammed, Nilanjan Dey, Rare Event Prediction Using Similarity Majority Under-sampling Technique, International Conference on Soft Computing in Data Science, SCDS 2017: Soft Computing in Data Science, Springer, 24 November 2017, pp. 23-39.
     

  12. Kun Lan, Simon Fong, Wei Song, Athanasios V. Vasilakos and Richard C. Millham, Self-Adaptive Pre-Processing Methodology for Big Data Stream Mining in Internet of Things Environmental Sensor Monitoring, Symmetry 2017, 9(10), 244, MDPI: Special Issue Emerging Approaches and Advances in Big Data. (Impact factor 1.457)
     

  13. Syed Muhammad Usman, Muhammad Usman, and Simon Fong, Epileptic Seizures Prediction Using Machine Learning Methods, Computational and Mathematical Methods in Medicine, 2017. Accepted for publication.  (Impact factor 0.937)
     

  14. Rui Tang, Simon Fong, Nilanjan Dey, Raymond K. Wong and Sabah Mohammed, Cross Entropy Method Based Hybridization of Dynamic Group Optimization Algorithm, Entropy 2017, 19(10), 533, MDPI : Special Issue Entropy-based Data Mining. (Impact factor 1.821)
     

  15. Simon Fong, Chintan Bhatt, Dmitry Korzun, Shuang-Hua Yang, Lili Yang, Internet of Breath (IoB): Integrative Indoor Gas Sensor Applications for Emergency Control and Occupancy Detection, Proceedings of the 2nd International Conference on Real-Time Intelligent Systems, Volume 2 RTIS 2017, Springer, October 18-20, 2017, Accepted for publication
     

  16. Ricardo Brito and Simon Fong, Generating Neural Networks with optimal features through Particle Swarm Optimization, International Conference on Big Data and Internet of Thing (BDIOT2017), ACM, December 20-22, 2017, London, UK, Accepted for publication
     

  17. Wei Song, Liying Liu, Yifei Tian, Guodong Sun, Simon Fong, Kyungeun Cho, A 3D Localisation Method in Indoor Environments for Virtual Reality Applications, Human-centric Computing and Information Sciences, Springer, December 2017, 7:39. (ESCI)
     

  18. Xin-She Yang, Suash Deb, Yu-Xin Zhao, Simon Fong, Xingshi He, Swarm Intelligence: Past, Present and Future, Soft Computing, 5 September 2017, pp 1–11. (Impact factor 2.472)
     

  19. Nilanjan Dey, Simon Fong, Wei Song, Kyungeun Cho, Forecasting Energy Consumption from Smart Home Sensor Network by Deep Learning, SmartCom 2017, At Pune, Volume: Springer CCIS, Aug 2017, Accepted for publication
     

  20. Rui Tang, Simon Fong, Raymond Wong, Kelvin K. L. Wong, Dynamic Group Optimization Algorithm with Embedded Chaos, IEEE Access, July 2017, Accepted for publication. (Impact factor 3.244)
     

  21. Kelvin K.L.Wong, Simon Fong, Defeng Wang, Impact of Advanced Parallel or Cloud Computing Technologies for Image Guided Diagnosis and Therapy, Journal of X-Ray Science and Technology, vol. 25, no. 2, 21 March 2017, pp. 187-192. (Impact factor 0.699)
     

  22. Simon Fong, Jinan Fiaidhi, Sabah Mohammed, Luiz A.M. Moutinho, Managing Diabetes Therapy through Datastream Mining, IEEE IT Professional, Volume: 19, Issue: 5, 2017, 4 October 2017, pp.50-57. (Impact factor 1.661)
     

  23. Sankhadeep Chatterjee, Nilanjan Dey, Fuqian Shi, Amira S. Ashour, Simon Fong, Soumya Sen, Clinical Application of Modified Bag-of-Features Coupled Hybrid Neural based Classifier in Dengue Fever Classification Using Gene Expression Data, Medical & Biological Engineering & Computing, Springer, 11 September 2017, pp.1-12. (Impact factor 1.916)
     

  24. Nilanjan Dey, Simon Fong, Wei Song and Kyungeun Cho, Forecasting Energy Consumption from Smart Home Sensor Network by Deep Learning, Second International Conference on Smart Trends for Information Technology and Computer Communications (SmartCom 2017), Springer CCIS Book Series
     

  25. Jinyan Li, Simon Fong, Raymond K. Wong, Richard Millham, and Kelvin Wong, Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets, Scientific Reports, Volume 7, Article number: 4354 (2017), Nature. (Impact factor 4.847)
     

  26. Jinyan Li, Lian-sheng Liu, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Yunsick Sung, Kelvin K.L. Wong, Adaptive Swarm Balancing Algorithms for Rare-event Prediction in Imbalanced Healthcare Data, PLOS ONE, July 2017, DOI: 10.1371/journal.pone.0180830. (Impact factor 2.806)
     

  27. Jay Pancham, Richard Millham, Simon Fong, Assessment of Feasible Methods Used by the Health Care Industry for Real Time Location, The Federated Conference on Computer Science and Information Systems (FedCSIS), IoT-ECAW'17, Accepted for publication
     

  28. Simon Fong, Robert P. Biuk-Aghai, Scarlet Tin, Visual Clustering-based Apriori ARM Methodology for Obtaining Quality Association Rules, The 10th International Symposium on Visual Information Communication and Interaction (VINCI 2017), Bangkok, Thailand, 14-16 August 2017, Accepted for publication
     

  29. Jiaxue Li, Wei Song, Simon Fong, A Research on Real-time Analysis and Visualization for Big Data of Energy Consumption, 5th ICSIIT 2017, the International Conference on Soft Computing, Intelligent System and Information Technology, Petra Christian University, Surabaya, Indonesia, September 26-29, 2017, Accepted for publication
     

  30. Rui Tang, Simon Fong, Raymond Wong, and Kelvin K.L. Wong, Dynamic Group Optimization Algorithm with Embedded Chaos, IEEE Access, DOI: 10.1109/ACCESS.2017.2724073, Accepted for publication. (Impact factor 3.244)
     

  31. Hang Yang, Simon Fong, Incremental Optimization Mechanism for Constructing a Balanced Very Fast Decision Tree for Big Data, Innovative Research Methodologies in Management – Volume I: Philosophy, Measurement and Modelling, Palgrave Macmillan, ISBN 978-3-319-64394-6
     

  32. Kam-Kin Lao, Simon Fong, Lili Yang, Environmental Event Prediction Using Voronoi Clustering and Temporal-spatial Relationship Analysis via Surveillance Sensors, OR59 Annual Conference, Loughborough University, 12–14 September 2017, Accepted for publication
     

  33. Sankhadeep Chatterjee, Nilanjan Dey, Soumya Sen, Amira S. Ashour, Simon Fong, Fuqian Shi, Modified Cuckoo Search based Neural Networks for Forest Types Classification, 2017 the 2nd International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2017), Xi'an, June 10, 2017, IOS Press
     

  34. Jinyan Li, Simon Fong, Raymond K. Wong, Sabah Mohammed, Similarity Majority Under-sampling Technique for Easing Imbalanced Classification Problem, The 15th Australasian Data Mining Conference (AusDM 2017), Melbourne, 19-20 August 2017, Accepted for publication
     

  35. Thomas Hanne, Suash Deb and Simon Fong, Swarm Intelligence in Logistics and Production Planning, IET Book: Swarm Intelligence - From Concepts to Applications (PBCE110) Print: 978-1-78561-313-5, eBook: 978-1-78561-314-2, IET, UK3
     

  36. Yap Bee Wah, Nurain Ibrahim, Hamzah Abdul Hamid, Shuzlina Abdul-Rahman and Simon Fong, Feature Selection Methods: Case of Filter and Wrapper Approaches for Maximizing Classification Accuracy, Pertanika Journal of Science and Technology, Vol. 25 (S) OCT. 2017
     

  37. Simon Fong, Wei Song, Raymond Wong, Chintan Bhatt, Dmitry Korzun, Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest, Internet of Things and Big Data Analytics Toward Next Generation Intelligence, Series Title: Studies in Big Data, Volume Number: 30, Springer, ISBN: 978-3-319-60434-3
     

  38. Kun Lan, Simon Fong, Wei Song, Athanasios V. Vasilakos and Richard C. Millham, Self-adaptive Pre-processing Approach for Big Data Stream Classification of IoT Environmental Sensor Monitoring, The 2017 International Conference on Big Data Analytics and Business Intelligence, Xi'an Jiaotong-Liverpool University, Suzhou, China, 26-28 June 2017, Accepted for publication
     

  39. Kairong Duan, Simon Fong, Wei Song, Athanasios V. Vasilakos and Raymond Wong, Energy-aware Big Data Analytics on Spark Cluster, The 2017 International Conference on Big Data Analytics and Business Intelligence, Xi'an Jiaotong-Liverpool University, Suzhou, China, 26-28 June 2017, Accepted for publication
     

  40. Song Qun, Fong Simon, Song Wei, Dey Nilanjan and Millham Richard, The Stacking Metaheuristic Ensemble System for Solving Economic Dispatch Problems, The 2017 International Conference on Big Data Analytics and Business Intelligence, Xi'an Jiaotong-Liverpool University, Suzhou, China, 26-28 June 2017, Accepted for publication
     

  41. Zhitong Su, Jun Lan, Wei Song, Simon Fong, Yifei Tian, Audiences Counting in Cinema by Detecting Occupied Chairs, MUE 2017, FutureTech 2017: Advanced Multimedia and Ubiquitous Engineering, Springer, pp.493-498
     

  42. Rui Tang, Simon Fong, Dynamic Group Optimization Algorithm for Portfolio Optimization, The 2017 International Conference on Big Data Analytics and Business Intelligence, Xi'an Jiaotong-Liverpool University, Suzhou, China, 26-28 June 2017, Accepted for publication
     

  43. Rui Tang, Simon Fong, Suash Deb, Raymond Wong, Dynamic Group Search Algorithm for Solving an Engineering Problem, Operational Research, Springer, 26 April 2017, pp.1–19. (Impact factor 1.065)
     

  44. Phuong Minh Chu, Seoungjae Cho, Simon Fong, Yong Woon Park, Kyungeun Cho, 3D Reconstruction Framework for Multiple Remote Robots on Cloud System, Symmetry, MDPI, 9(4), 55, pp.1-16, 14 April 2017.  (Impact factor 1.457)
     

  45. Jinyan Li, Simon Fong, Raymond K. Wong, Victor W. Chu, Adaptive Multi-objective Swarm Fusion for Imbalanced Data Classification, Information Fusion, Elsevier, Volume 39, March 2017, pp.1–24.  (Impact factor 5.667)
     

  46. Yan Zhuang, Simon Fong, Meng Yuan, Yunsick Sung, Kyungeun Cho, Raymond K. Wong, Predicting the Next Turn at Road Junction from Big Traffic Data, The Journal of Supercomputing, Springer, 21 March 2017, pp.1-21.  (Impact factor 1.326)
     

  47. Simon Fong, Shimin Hu, Wei Song, Kyungeun Cho, Raymond K Wong, Sabah Mohammed, On Recognizing Abnormal Human Behaviours by Data Stream Mining with Misclassified Recalls, 26th International World Wide Web Conference (WWW '17), ACM, April 2017, Accepted for publication
     

  48. Simon Fong, Yan Zhuang, Shimin Hu, Wei Song, Liansheng Liu, Luiz Abel Moutinho, Longitudinal Ambient Mobile Sensor Monitoring for TCM- oriented Healthcare Assessments: Framework, Challenges and Applications, 26th International World Wide Web Conference (WWW '17), ACM, April 2017, Accepted for publication
     

  49. Simon Fong, Wei Song, Kyungeun Cho, Raymond Wong and Kelvin K. L. Wong, Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition, Sensors, 17(3), 476, 27 February 2017. (Impact factor 2.677)
     

  50. Dantong Wang, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi & Kelvin K. L. Wong, Robust High-dimensional Bioinformatics Data Streams Mining by ODR-ioVFDT, Scientific Reports, Nature, Article number: 43167 (2017), 23 February 2017. (Impact factor 4.847)  [source] [source 2]

 

 

2016

  

  1. Yan Zhuang, Simon Fong, Meng Yuan, Yunsick Sung, Kyungeun Cho, Raymond K. Wong, Location-based Big Data Analytics for Guessing the Next Foursquare Check-ins, The Journal of Supercomputing, Springer, 1 December 2016, pp.1-16. (Impact factor 1.326)
     

  2. Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond Wong and Kelvin K. L. Wong, Adaptive Swarm Cluster-based Dynamic Multi-objective Synthetic Minority Oversampling Technique Algorithm for Tackling Binary Imbalanced Datasets in Biomedical Data Classification, BioData Mining, Vol.9(37), 1 December 2016. (Impact factor 1.577) [source] [source 2]
     

  3. Yunji Jung, Yulong Xi, Seoungjae Cho, Wei Song, Simon Fong, Kyungeun Cho, Design and Implementation of a Same-user Identification System in Invoked Reality Space, Multimedia Tools and Applications, Springer, 23 November 2016, pp.1-19.(Impact factor 1.53) 
     

  4. Sohyun Sim, Seoungjae Cho, Wei Song, Simon Fong, Yong Woon Park, Kyungeun Cho, Development of Simulator for Invoked Reality Environmental Design, Multimedia Tools and Applications, Springer, 10 November 2016, pp.1-22. (Impact factor 1.53) 
     

  5. Rita Yi Man Li, Simon Fong, Kyle Weng Sang Chong, Forecasting the REITs and stock indices: Group Method of Data Handling Neural Network approach, Pacific Rim Property Research Journal, 28 Sep 2016, pp.123-160. (ESCI)
     

  6. Zhonghuan Tian and Simon Fong, Survey of Meta-Heuristic Algorithms for Deep Learning Training, Book Chapter of Optimization Algorithms- Methods and Applications, INTECH, September 21, 2016, pp.195-220
     

  7. Simon Fong, Meta-zoo-heuristic Algorithms, The Sixth International Conference on Innovative Computing Technology (INTECH 2016), Invited Keynote Paper, September 19-21, 2016, Islamabad, Pakistan
     

  8. Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Simon Fong, Boosting financial forecasting returns based on metric learning and hierarchical beta process, The 14th Australasian Data Mining Conference (AusDM 2016), 6-8 December 2016, Canberra, Australia
     

  9. Simon Fong, Meng Yuen, Raymond K. Wong, Wei Song, and Kyungeun Cho, Real-time Stream Mining Electric Power Consumption Data Using Hoeffding Tree with Shadow Features, The 12th International Conference on Advanced Data Mining and Applications (ADMA 2016), Gold Coast, Australia, 12-15 Dec 2016, pp.775-787
     

  10. Jinyan Li, Simon Fong, Raymond Wong, Adaptive Multi-objective Swarm Crossover Optimization for Imbalanced Data Classification, The 12th International Conference on Advanced Data Mining and Applications (ADMA 2016), Gold Coast, Australia, 12-15 Dec 2016, pp.374-390  [source] [source 2[source 3]
     

  11. Muhammad Afzaal, Muhammad Usman, A.C.M Fong, Simon Fong and Yan Zhuang, Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews, Advances in Fuzzy Systems, Volume 2016 (2016), Article ID 6965725, September 2016, Article in press. (ESCI)
     

  12. Ricardo Brito, Simon Fong, Wei Song, Kyungeun Cho, Chintan Bhatt, Dmitry Korzun, Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors, Studies in Big Data: Internet of Things and Big Data Technologies in Next Generation Healthcare, Vol. 23, Springer, August 2016, pp.359-388
     

  13. Israel Edem Agbehadji, Simon Fong, Richard Millham, Wolf Search Algorithm for Numeric Association Rule Mining, 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 5-7 July 2016, Chengdu, China, pp.146-151
     

  14. Wei Song, Yifei Tian, Simon Fong, Kyungeun Cho, Wei Wang, Weiqiang Zhang, GPU-accelerated Foreground Segmentation and Labeling for Real-time Video Surveillance, SI: Advanced IT based Future Sustainable Computing, Sustainability, Vol.8(10),(ISSN 2071-1050), 29 September 2016. (Impact factor 1.789)
     

  15. Yulong Xi, Seoungjae Cho, Simon Fong, Yong Woon Park, Kyungeun Cho, Gesture Recognition Method Using Sensing Blocks, Wireless Personal Communications, Springer, 06 May 2016, pp.1-19. (Impact factor 0.951)
     

  16. Zhonghuan Tian, Simon Fong, Rui Tang, Suash Deb, Raymond Wong, Rhinoceros Search Algorithm, The 2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI 2016), Dubai, UAE, November 23-25, 2016, Accepted for publication
     

  17. Israel Edem Agbehadji, Simon Fong, Richard Millham, Kestrel-Based Search Algorithm for Association Rule Mining and Classification of Frequently Changed Items, The 8th International Conference on Computational Intelligence and Communication Networks (CICN 2016), Dehradun, India, 23-25 December 2016, Accepted for Pulbication
     

  18. Simon Fong, Suash Deb, Xin-she Yang, How Meta-Heuristic Algorithms Contribute to Deep Learning in the Hype of Big Data Analytics, The 4th International Conference on. Advanced Computing, Networking, and Informatics (ICACNI 2016), 22-24 September 2016, Odisha, India, Accepted for Pulbication
     

  19. Jiaqi Pan, Yan Zhuang, Simon Fong, The Impact of Data Normalization on Stock Market Prediction: Using SVM and Technical Indicators, The 2nd International Conference on Soft Computing in Data Science 2016 (SCDS2016), 21-22 September 2016, Kuala Lumpur, Malaysia, pp.72-88
     

  20. Jinyan Li, Simon Fong, Solving Imbalanced Dataset Problems for High Dimensional Image Processing by Swarm Optimization, Chapter 14 of Bio-Inspired Computation and Applications in Image Processing, Elsevier Science, 9 Aug 2016, ISBN 012804537X, pp.311-321
     

  21. Xiaoping Min, Liansheng Liu, Yuying He, Xueyuan Gong, Simon Fong, Qiwen Xu, Kelvin K.L. Wong, Benchmarking Swarm Intelligence Clustering Algorithms with Case study of Medical Data, Computerized Medical Imaging and Graphics, Elsevier, 21 June 2016, In Press
     

  22. Daohui Zeng, Jidong Peng, Simon Fong, Yining Qiu, Raymond Wong, Yi-Jen Mon, Sentiment Prediction by Text Mining Medical Documents Using Optimized Swarm Search-based Feature Selection, Computerized Medical Imaging and Graphics, Elsevier, 5 August 2016, In Press
     

  23. Zhonghuan Tian, Simon Fong, Raymond Wong, Richard Millham, Optimizing Self-Adaptive Gender Ratio of Elephant Search Algorithm by Min-Max Strategy, The 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2016), 13-15 August 2016, China
     

  24. Zhonghuan Tian, Simon Fong, Raymond Wong, Richard Millham, Elephant Search Algorithm on Data Clustering, The 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2016), 13-15 August 2016, China
     

  25. Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong, A Generic Service Framework for Stock Market Prediction, The 13th IEEE International Conference on Services Computing, June 27 - July 2, 2016, San Francisco, USA, pp.283-290
     

  26. Rui Tang, Qun Song, Simon Fong, Raymond Wong, Improving Metaheuristics by Natural Selection, The 5th International Congress on Advanced Applied Informatics, July 10-14, 2016, Kumamoto, Japan, pp. 588-592
     

  27. Qun Song, Simon Fong, Rui Tang, Self-Adaptive Wolf Search Algorithm, The 5th International Congress on Advanced Applied Informatics, July 10-14, 2016, Kumamoto, Japan, pp.576-582
     

  28. Qun Song, Simon Fong, Brick-up Metaheuristic Algorithms, The 5th International Congress on Advanced Applied Informatics, July 10-14, 2016, Kumamoto, Japan, pp.583-587
     

  29. Tang Rui, Simon Fong, Suash Deb, Raymond Wong, Dynamic Group Search Algorithm, The 4th International Symposium on Computational and Business Intelligence (ISCBI 2016), September 5-7, 2016, Olten, Switzerland
     

  30. Zhonghuan Tian, Simon Fong, Suash Deb, Raymond Wong, Vitality-based Elephant Search Algorithm, The 4th International Symposium on Computational and Business Intelligence (ISCBI 2016), September 5-7, 2016, Olten, Switzerland
     

  31. Xin-She Yang, Suash Deb, Simon Fong, Yuxin Zhao, Xingshi He, Swarm Intelligence: Today and Tomorrow, The 4th International Symposium on Computational and Business Intelligence (ISCBI 2016), September 5-7, 2016, Olten, Switzerland
     

  32. Xin-She Yang, Suash Deb, Simon Fong, Xingshi He, Yu-Xin Zhao, From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms, Computer, IEEE Computer Society, Volume: 49, Issue: 9, Sept. 2016, pp.52-59. (Impact factor 1.755)
     

  33. Simon Fong, Robert P. Biuk-Aghai, Yain-whar Si, Lightweight Feature Selection Methods Based on Standardized Measure of Dispersion for Mining Big Data, The 6th IEEE International Symposium on Cloud and Services Computing, Nadi, Fiji, December 8-10, 2016, Under review
     

  34. Ida Ip, Simon Fong, Yan Zhuang, Raymond Wong, Competitive Intelligence Study on Macau Food and Beverage Industry, The 7th International Conference on Cloud Computing and Big Data (CCBD 2016), November 16-18, 2016, Accepted for publication
     

  35. Wei Song, Jiaxue Li, Yifei Tian, Simon Fong, Wei Wang, A Dynamic Traffic Data Visualization System with OpenStreetMap, Advanced Multimedia and Ubiquitous Engineering, Volume 393 of the series Lecture Notes in Electrical Engineering, Springer, pp.271-276
     

  36. Yeji Kim, Yulong Xi, Seoungjae Cho, Simon Fong, Changhwan Yi, Kyhyun Um, Kyungeun Cho, Interaction Engine Design for Virtual Experiments by Multi-users, Advanced Multimedia and Ubiquitous Engineering, Volume 393 of the series Lecture Notes in Electrical Engineering, Springer, pp.229-234
     

  37. Yulong Xi, Seoungjae Cho, Simon Fong, Byong kwon Lee, Kyhyun Um, Kyungeun Cho, Interactive Lecture System Based on Mixed Reality with Transparent Display, Advanced Multimedia and Ubiquitous Engineering, Volume 393 of the series Lecture Notes in Electrical Engineering, Springer, pp.223-228
     

  38. Yan Zhuang, Simon Fong, Meng Yuan, Mining Foursquare User Check-in Habit Based on Historical Check-in Records, Advanced Multimedia and Ubiquitous Engineering, Volume 393 of the series Lecture Notes in Electrical Engineering, Springer, pp.747-759
     

  39. Yan Zhuang, Simon Fong, Meng Yuan, Novel Mobile Motion Prediction Algorithm for Predicting Pedestrian’s Next Location, Advanced Multimedia and Ubiquitous Engineering, Volume 393 of the series Lecture Notes in Electrical Engineering, Springer, pp.737-746
     

  40. Robert P. Biuk-Aghai, Weng Tat Kou, Simon Fong, Big Data Analytics for Transportation: Problems and Prospects for its Application in China, 2016 IEEE Region 10 Symposium (TENSYMP), Bali, Indonesia, 9-11 May 2016, pp.173-178
     

  41. Simon Fong, Dana Wang, Jinan Fiaidhi, Sabah Mohammed, Libo Chen, Li Ling, Clinical Pathways Inference from Decision Rules by Hybrid Stream Mining and Fuzzy Unordered Rule Induction Strategy, Computerized Medical Imaging and Graphics, Elsevier, 5 July 2016, In Press, pp.1-12
     

  42. Jinyan Li, Simon Fong, Shirley W. I. Siu, Sabah Mohammed, Jinan Fiaidhi, and Kelvin K. L. Wong, Improving Classification of Protein Binders for Virtual Drug Screening by Novel Swarm-Based Feature Selection Techniques, Computerized Medical Imaging and Graphics, Elsevier, August 2016, Accepted for Publication
     

  43. Suash Deb, Simon Fong, Zhonghuan Tian, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Finding Approximate Solutions of NP-hard Optimization and TSP Problems Using Elephant Search Algorithm, The Journal of Supercomputing, 24 May 2016, pp.1-33. (Impact factor 1.326)
     

  44. Ricardo Brito, Simon Fong, Kyungeun Cho, Wei Song, Raymond Wong, Sabah Mohammed, Jinan Fiaidhi, Towards Implementation of Residual-feedback GMDH Neural Network on Parallel GPU Memory Guided by a Speed-up Regression Curve, The Journal of Supercomputing, Springer, 21 May 2016, pp.1-28. (Impact factor 1.326)
     

  45. Van M. Chhieng, Raymond K. Wong, Simon Fong, Sabah Mohammed, Autonomous Path Based Data Acquisition In Sensor Networks, The Journal of Supercomputing, Springer, 14 May 2016, pp.1-22.  (Impact factor 1.326)
     

  46. Yeji Kim, Seoungjae Cho, Simon Fong, Yong Woon Park, Kyungeun Cho, Design of Hand Gesture Interaction Framework on Clouds for Multiple Users, The Journal of Supercomputing, Springer, 21 April 2016, pp.1-16.  (Impact factor 1.326)
     

  47. Simon Fong, Jinan Fiaidhi, Sabah Mohammed and Luiz Moutinho, Real-time Decision Rules for Diabetes Therapy Management by Data Stream Mining, IEEE IT Professional, July 2016.  (Impact factor 1.661)
     

  48. Seoungjae Cho, Simon Fong, Yong Woon Park, Kyungeun Cho, Simulation Framework of Ubiquitous Network Environments for Designing Diverse Network Robots, Future Generation Computer Systems, Elsevier, 2016, pp.468-473. (Impact factor 3.997)
     

  49. Simon Fong, Suash Deb, Thomas Hanne, Jinyan Li, Eidetic Wolf Search Algorithm with a Global Memory Structure, European Journal of Operational Research, Volume 254, Issue 1, 1 October 2016, pp.19-28.  (Impact factor 3.297)
     

  50. Rita Li, Haisheng Li, Simon Fong, Joey Wong, Office Market and Market Sentiment: Data Triangulation Approach, American Real Estate Society, Denver, Colorado, USA, 29 March-2 April 2016
     

  51. Aunsia Khan, Lian-sheng Liu, Muhammad Usman and Simon Fong, Early Diagnosis of Alzheimer’s disease Using Instance Based Learning Techniques, Journal of Medical Imaging and Health Informatics, Volume 6, Number 4, August 2016, pp. 1111-1118(8). (Impact factor 0.621)
     

  52. Narumol Doungpan, Worrawat Engchuan, Asawin Meechai, Simon Fong and Jonathan H. Chan, Gene-Network-based Feature Set Approach for Expression-based Cancer Classification, Journal of Medical Imaging and Health Informatics, Volume 6, Number 4, August 2016, pp. 1093-1101(9)(Impact factor 0.621)
     

  53. Jonathan H. Chan, Thammarsat Visutarrom, Sung-Bae Cho, Worrawat Engchuan, and Pornchai Mongolnam, Simon Fong, A Hybrid Approach to Human Posture Classification during TV Watching, Journal of Medical Imaging and Health Informatics, Volume 6, Number 4, August 2016, pp. 1119-1126(8). (Impact factor 0.621)
     

  54. Jinyan Li, Simon Fong, Kelvin K. L. Wong, Sabah Mohammed, Jinan Fiaidhi, Qian Chen, Zhen Tan, Solving the Under-fitting Problem for Decision Tree Algorithms by Incremental Swarm Optimization in Rare-event Healthcare Classification, Journal of Medical Imaging and Health Informatics, Volume 6, Number 4, August 2016, pp. 1102-1110(9). (Impact factor 0.621)
     

  55. Victor W. Chu, Raymond K. Wong, Fang Chen, Simon Fong, Patrick C.K. Hung, Self-regularized causal structure discovery for trajectory-based networks, Journal of Computer and System Sciences, Volume 82, Issue 4, June 2016, Elsevier, pp.594–609. (Impact factor 1.678)
     

  56. Zhou Shu, and Simon Fong, Exploring the Feature Selection-based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors - A Case Study of Programming CQA in Stack Overflow, Big Data Applications and Use Cases, Springer, May 13, 2016
     

  57. Simon Fong, Charlie Fang, Neal Tian, Raymond Wong, Bee Wah Yap, Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network, Big Data Applications and Use Cases, Springer, May 13, 2016, pp.175-196
     

  58. Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai,  Raymond Wong, Athanasios V. Vasilakos, Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals, PACC, PAKDD 2016, pp.169-180
     

  59. Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong, Effective Local Metric Learning for Water Pipe Assessment, PAKDD 2016, pp.565-577
     

  60. Yain-Whar Si, Kin-Kuan Hoi, Robert P. Biuk-Aghai, Simon Fong, Defu Zhang, Run-based exception prediction for workflows, Journal of Systems and Software, Volume 113, March 2016, Elsevier, pp.59–75. (Impact factor 2.444)
     

  61. Simon Fong, Kexing Liu, Kyungeun Cho, Raymond Wong, Sabah Mohammed, Jinan Fiaidhi, Improvised Methods for Tackling Big Data Stream Mining Challenges: Case Study of Human Activity Recognition, The Journal of Supercomputing, Springer, 16 February 2016, pp.1-33. (Impact factor 1.326)
     

  62. Dana Wang, Simon Fong, Kyungeun Cho, Inferring Real-time Decision Rules for Managing Diabetes Therapy Using Data Stream Mining Algorithms, 12th IASTED International Conference of Biomedical Engineering (BioMed 2016), February 15-16, 2016, Innsbruck, Austria, pp.127-132
     

  63. Simon Fong, Ricardo Brito, Kyungeun Cho, Wei Song, Raymond Wong, Jinan Fiaidhi, Sabah Mohammed, GPU-enabled back-propagation artificial neural network for digit recognition in parallel, The Journal of Supercomputing, Springer, 10 February 2016, pp.1-19. (Impact factor 1.326)
     

  64. Simon Fong, Kyungeun Cho, Osama Mohammed, Sabah Mohammed, Jinan Fiaidhi, A Time-series Pre-processing Methodology with Statistical and Spectral Analysis for Classifying Non-stationary Stochastic Biosignals, The Journal of Supercomputing, Springer, 10 February 2016, pp.1-22. (Impact factor 1.326)
     

  65. Xueyuan Gong, Simon Fong, Sabah Mohammed, Jinan Fiaidhi, and Athanasios Vasilakos, Discovering sub-patterns from time series using a normalized cross-match algorithm, The Journal of Supercomputing, Springer, 4 February 2016, pp.1-18. (Impact factor 1.326)
     

  66. Xueyuan Gong, Yain-Whar Si, Simon Fong, Robert P. Biuk-Aghai, Financial Time Series Pattern Matching with Extended UCR Suite and Support Vector Machine, Expert Systems with Applications, Elsevier, Feb 2016, Volume 55, pp.284-296. (Impact factor 3.928)
     

  67. Naeem Ur Rehman, Sohail Asghar, Muhammad Usman, Simon Fong, Kyungeum Cho, Yong Woon Park, High Level Classification Recommended Decision Making for Autonomous Ground Vehicle (AGV), Journal of Computational and Theoretical Nanoscience, 2016.
     

2015  

 

  1. Simon Fong, Xi Wang, Qiwen Xu, Raymond Wong, Jinan Fiaidhi, Sabah Mohammed, Recent advances in metaheuristic algorithms: Does the Makara dragon exist?, The Journal of Supercomputing, Springer, 24 December 2015, pp.1-23. (Impact factor 1.326)
     

  2. Victor W. Chu, Raymond K. Wong, Simon Fong, Chi-Hung Chi, Emerging Service Orchestration Discovery and Monitoring, IEEE Transactions on Services Computing, 22 December 2015. (Impact factor 3.52)
     

  3. Mohammad Ebrahimi, Elaheh Shafiei Bavani, Raymond K. Wong, Simon Fong, Jinan Fiaidhi, An Adaptive Meta-heuristic Search for the Internet of Things, Future Generation Computer Systems, Elsevier, 21 December 2015, doi:10.1016/j.future.2015.12.006. (Impact factor 3.997)

     

  4. Muneeb Mirza, Muhammad Usman, Robert P. Biuk-Aghai and Simon Fong, A Modular Approach for Implementation of Honeypots in Cyber Security, The 3rd International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics 2015

     

  5. Robert P. Biuk-Aghai, Muye Yang, Patrick Cheong-Iao Pang, Wai Hou Ao, Simon Fong and Yain-Whar Si, A Map-like Visualisation Method Based on Liquid Modelling, Journal of Visual Languages & Computing, Volume 31, Part A, December 2015, Elsevier, pp.87–103. (Impact factor 1.171)

     

  6. Jinyan Li, Simon Fong, Sabah Mohammed, Jinan Fiaidhi, Improving the Classification Performance of Biological Imbalanced Datasets by Swarm Optimization Algorithms, The Journal of Supercomputing, Springer, 16 November 2015, pp.1-21. (Impact factor 1.326)

     

  7. Simon Fong, Elisa Gao, Raymond Wong, Optimized Swarm Search-based Feature Selection for Text Mining in Sentiment Analysis, OEDM, IEEE ICDM 2015, Nov 14, 2015

     

  8. Simon Fong, Yan Zhuang, Kexing Liu, and Shu Zhou, Classifying Forum Questions Using PCA and Machine Learning for Improving Online CQA, Soft Computing in Data Science, Volume 545, Springer, 12 November 2015, pp.13-22

     

  9. Simon Fong, Yan Zhuang, Huilong Luo, Kexing Liu, and Gia Kim, Finding Significant Factors on World Ranking of e-Governments by Feature Selection Methods over KPIs, Soft Computing in Data Science, Volume 545, Springer, 12 November 2015, pp.65-73

     

  10. Yap Bee Wah, Nurain Ibrahim, Hamzah Abdul Hamid, Shuzlina Abdul-Rahman, Simon Fong, Feature Selection Methods: Case of Filter and Wrapper Approaches for Maximizing Classification Accuracy, IEEE ICSSBE 2015 Statistics in Science, Buiness and Engineering, 12 Nov 2015

     

  11. Yingwan Wu, Simon Fong, Suash Deb, Thomas Hanne, Interactive Virtual Platform for Shopping Furniture Based on Unity 3D, Quantitative Modelling in Marketing and Management, 2nd Edition, ISBN: 978-981-4696-34-0,  World Scientific, Nov 2015, pp.273-292

     

  12. Thomas Hanne, Suash Deb, Simon Fong, Metaheuristics in Logistics, Quantitative Modelling in Marketing and Management, 2nd Edition, ISBN: 978-981-4696-34-0,  World Scientific, Nov 2015, pp.393-422

     

  13. Suash Deb, Simon Fong, Zhonghuan Tian, Elephant Search Algorithm for optimization problems, 2015 Tenth International Conference on Digital Information Management (ICDIM), IEEE, Jeju, 21-23 Oct. 2015, pp.249-255

     

  14. Mojgan Ghanavati, Raymond K. Wong, Simon Fong, Mohammad Reza Gholamian, Extending the grenade explosion approach for effective clustering, 2015 Tenth International Conference on Digital Information Management (ICDIM), IEEE, Jeju, 21-23 Oct. 2015, pp.28-35

     

  15. Wei Song, Dong Wu, Raymond Wong, Simon Fong, Kyungeun Cho, A real-time interactive data mining and visualization system using parallel computing, 2015 Tenth International Conference on Digital Information Management (ICDIM), IEEE, Jeju, 21-23 Oct. 2015, pp.10-13

     

  16. Xueyuan Gong, Simon Fong, Jonathan H. Chan, Sabah Mohammed, NSPRING: The SPRING Extension for Subsequence Matching of Time Series Supporting Normalization, The Journal of Supercomputing, Springer, 25 September 2015, pp.1-25. (Impact factor 1.326)

     

  17. Hang Yang, Peng Li, Zhian He, Xiaobin Guo, Simon Fong & Huajun Chen, A Decision Support System Using Combined-Classifier for High-speed Data Stream in Smart Grid, Enterprise Information Systems, Taylor & Francis Group, 17 Sep 2015, pp.1-12. DOI: 10.1080/17517575.2015.1086495. (Impact factor 1.326)

     

  18. Simon Fong, Justin Liang, Shirley W.I. Siu, Jonathan H. Chan, Efficient variation-based feature selection for medical data classification, Journal of Medical Imaging and Health Informatics, Volume 5, Number 5, September 2015, pp.1093-1098. (Impact factor 0.621)

     

  19. Simon Fong, Shirley W.I. Siu, Suzy Zhou, Jonathan H. Chan, Sabah Mohammed, Jinan Fiaidhi, Real-Time Analysis of Vital Signs Using Incremental Data Stream Mining Techniques with a Case Study of ARDS Under ICU Treatment, Journal of Medical Imaging and Health Informatics, Volume 5, Number 5, September 2015, pp.1108-1115. (Impact factor 0.621)

     

  20. Jinyan Li, Simon Fong, Yan Zhuang, Richard Khoury, Hierarchical classification in text mining for sentiment analysis of online news, Soft Computing, Springer, 04 August 2015, pp.1-10. (Impact factor 2.472)

     

  21. Simon Fong, Raymond Wong, Pit Pichappan, Debunking the Designs of Contemporary Nature-inspired Computing Algorithms: From Moving Particles to Roaming Elephants, 2015 Fourth International Conference on Future Generation Communication Technology (FGCT), Luton, 29-31 July 2015, pp.1-11

     

  22. Hui-long Lo, Simon Fong, Xi Wang, Thomas Hanne, Applying a Chaos-Based Firefly Algorithm to the Permutation Flow Shop Scheduling Problem, 3rd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, Bali, 7-9 Dec. 2015, pp.51-57

     

  23. Jinyan Li, Simon Fong, Yan Zhuang, Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree, 3rd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, Bali, 7-9 Dec. 2015, pp.26-32  [source]

     

  24. Sidra Tariq, Muhammad Usman, Raymond Wong, Yan Zhuang, Simon Fong, On Learning Software Effort Estimation, 3rd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, Bali, 7-9 Dec. 2015, pp.79-84

     

  25. Mahroosh Irfan, Muhammad Usman, Yan Zhuang, Simon Fong, A Critical Review of Security Threats in Cloud Computing, 3rd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, Bali, 7-9 Dec. 2015, pp.105-111

     

  26. Simon Fong, Robert P. Biuk-Aghai, Yain-whar Si, and Bee Wah Yap, A Lightweight Data Preprocessing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning, Mathematical Problems in Engineering, Volume 2015 (2015), Article ID 125781, 11 pages. (Impact factor 0.802)

     

  27. Simon Fong, Suzy Zhou, Luiz Moutinho, Text Analytics for Predicting Question Acceptance Rates, IEEE IT Professional 17 (4), July 2015, pp.34-41. (Impact factor 1.661)

     

  28. Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang, A joint optimization framework of sparse coding and discriminative clustering, 24th International Conference on Artificial Intelligence (IJCAI'15), AAAI Press, June 2015, pp.3932-3938 

     

  29. Macus C.K. Ng, Simon Fong, Shirley W.I. Siu, PSOVina: The hybrid particle swarm optimization algorithm for protein–ligand docking, Journal of bioinformatics and computational biology 13 (03), 1541007. (Impact factor 0.931)

     

  30. Simon Fong, Raymond Wong,  Athanasios V. Vasilakos, Accelerated PSO Swarm Search Feature Selection for Data Stream Mining Big Data, IEEE Transactions on Services Computing, Volume 9, Issue 1, June 2015, pp.33-45. (Impact factor 3.520)

     

  31. Hang Yang, Simon Fong, Countering the Concept-drift Problems in Big Data by an Incrementally Optimized Stream Mining Model, Journal of Systems and Software, Volume 102, April 2015, Elsevier, pp.158–166. (Impact factor 2.444)

     

  32. Simon Fong, Suash Debb, Ankit Chaudhary, A Review of Meta-heuristics in Robotics, Computers & Electrical Engineering, Volume 43, April 2015, Elsevier, pp.278–291. (Impact factor 1.570)

     

  33. Simon Fong, Justin Liang, Iztok Fister Jr., Iztok Fister, and Sabah Mohammed, Gesture Recognition from Data Streams of Human Motion Sensor Using Accelerated PSO Swarm Search Feature Selection Algorithm, Journal of Sensors, Volume 2015 (2015), Article ID 205707, 16 pages. (Impact factor 1.704)

     

  34. Simon Fong, Suash Deb, Xin-She Yang, A Heuristic Optimization Method Inspired by Wolf Preying Behavior, Neural Computing and Applications 26 (7), Springer, pp.1725-1738. (Impact factor 2.505)  [source]

     

  35. Shahid Abid, Sohail Asghar, Yan Zhuang, Simon Fong, Hidden Markov Model Based Character Segmentation Factor Applied To Urdu Script, Frontiers in Artificial Intelligence and Applications, Volume 275: Advances in Digital Technologies, IOS Press, Feb 2015, pp.39-51

     

  36. Muhammad Zubair Hasan Ansari, Sohail Asghar, Yan Zhuang, Simon Fong, A Data Modification Technique in PPDM Based on Ant Colony Optimization Approach, Frontiers in Artificial Intelligence and Applications, Volume 275: Advances in Digital Technologies, IOS Press, Feb 2015, pp.139-149

     

  37. Dušan Fister, Karin Ljubič, Iztok Fister Jr., Iztok Fister, Simon Fong, Yan Zhuang, Online registration system for recreational cycling marathons: Lessons learned, Frontiers in Artificial Intelligence and Applications, Volume 275: Advances in Digital Technologies, IOS Press, Feb 2015, pp.120-126

     

  38. Tayyeba Naseer, Sohail Asghar, Yan Zhuang, Simon Fong, A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5, Frontiers in Artificial Intelligence and Applications, Volume 275: Advances in Digital Technologies, IOS Press, Feb 2015, pp.304-312

     

  39. Simon Fong, Jinyan Li, Xueyuan Gong and Athanasios V. Vasilakos, Advances of Applying Metaheuristics to Data Mining Techniques, Improving Knowledge Discovery through the Integration of Data Mining Techniques, IGI Global, August, 2015, pp.75-103

     

  40. Simon Fong, Dong Han and Athanasios V. Vasilakos, Comparative Study of Incremental Learning Algorithms in Multidimensional Outlier Detection on Data Stream, Improving Knowledge Discovery through the Integration of Data Mining Techniques, IGI Global, August, 2015, pp.54-73

     

  41. Simon Fong, Renfei Luo, Suash Deb, Sabu M. Thampi, Location-based Mutual and Mobile Information Navigation System: Lemmings, Intelligent Distributed Computing, Volume 321, Springer, 2015, pp.161-171

 

 

2014  

 

  1. Iztok Fister Jr., Iztok Fister, Simon Fong, Yan Zhuang, Data Reconstruction of Abandoned Websites, 2nd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 7-8 Dec. 2014, pp.67-72

     

  2. Simon Fong, Hui-Long Lou, Yan Zhuang, Suash Deb, Thomas Hanne, Solving the Permutation Flow Shop Problem with Firefly Algorithm, 2nd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 7-8 Dec. 2014, pp.25-29

     

  3. Simon Fong, Yan Zhuang, Raymond Wong, Sabah Mohammed, A Scalable Data Stream Mining Methodology: Stream-based Holistic Analytics and Reasoning in Parallel, 2nd International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 7-8 Dec. 2014, pp.110-115

     

  4. Iztok Fister Jr., Xin-She Yang, Simon Fong, Yan Zhuang, Bat algorithm: Recent advances, 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, Budapest, 19-21 Nov. 2014, pp.163-167

     

  5. Simon Fong, Justin Liang, Yan Zhuang, Improving Classification Accuracy Using Fuzzy Clustering Coefficients of Variations (FCCV) Feature Selection Algorithm, 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, Budapest, 19-21 Nov. 2014, pp.147-151

     

  6. Xueyuan Gong, Yain-Whar Si, Simon Fong, Sabah Mohammed, NSPRING: Normalization-supported SPRING for subsequence matching on time series streams, 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, Budapest, 19-21 Nov. 2014, pp.373-378

     

  7. Simon Fong, Justin Liang, Raymond Wong, Mojgan Ghanavati, A Novel Feature Selection by Clustering Coefficients of Variations, The Ninth International Conference on Digital Information Management (ICDIM), Phitsanulok, IEEE, Sept. 29 2014-Oct. 1 2014, pp.205-213

     

  8. Iztok Fister Jr., Duan Fister, Karin Ljubic, Yan Zhuang, Simon Fong, Towards Automatic Food Prediction During Endurance Sport Competitions, International Conference on Soft Computing and Machine Intelligence (ISCMI), New Delhi, IEEE, 26-27 Sept. 2014, pp.6-10

     

  9. Jinyan Li, Simon Fong, Yan Zhuang, Richard Khoury, Hierarchical Classification in Text Mining for Sentiment Analysis, International Conference on Soft Computing and Machine Intelligence (ISCMI), New Delhi, IEEE, 26-27 Sept. 2014, pp.46-51

     

  10. Suash Deb, Simon Fong, Sabu M. Thampi, Framework of Lightweight Secure Media Transfer for Mobile Law Enforcement Apps, Security in Computing and Communications, Volume 467, Springer, Sep. 2014, pp.211-220

     

  11. Simon Fong, Suash Deb, Xin-She Yang, and Yan Zhuang, Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms, The Scientific World Journal, vol. 2014, Article ID 564829, 16 pages, 2014. doi:10.1155/2014/564829.

     

  12. Saif Ur Rehman, Sohail Asghar, Yan Zhuang, and Simon Fong, Performance Evaluation of Frequent Subgraph Discovery Techniques, Mathematical Problems in Engineering, vol. 2014, Article ID 869198, 6 pages, 2014. doi:10.1155/2014/869198. (Impact factor 0.802)

     

  13. Simon Fong, Suash Deb, Prediction of Major Earthquakes as Rare Events Using RF-typed Polynomial Neural Networks, Encyclopedia of Information Science and Technology, Third Edition, IGI Global, July 2014, pp.227-238

     

  14. Simon Fong, Suash Deb, Xin-She Yang, Jinyan Li, Feature Selection in Life Science Classification: Metaheuristic Swarm Search, IEEE IT Professional, vol.16, no. 4, pp.24-29, July-Aug. 2014, doi:10.1109/MITP.2014.50. (Impact factor 1.661)

     

  15. Simon Fong, Suash Deb, Raymond Wong, and Guangmin Sun, Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis, International Journal of Distributed Sensor Networks, vol. 2014, Article ID 635834, 12 pages, 2014. doi:10.1155/2014/635834. (Impact factor 1.239)

     

  16. Xin-She Yang, Suash Deb, Simon Fong, Metaheuristic Algorithms: Optimal Balance of Intensification and Diversification, Applied Mathematics & Information Sciences, 8(3), May 2014, pp.1-7. (Impact factor 0.94)

     

  17. Iztok Fister Jr., Simon Fong, Janez Brest, and Iztok Fister, A Novel Hybrid Self-Adaptive Bat Algorithm, The Scientific World Journal, vol. 2014, Article ID 709738, 12 pages, 2014. doi:10.1155/2014/709738.

     

  18. Simon Fong, Osama Mohammed, Jinan Fiaidhi, Sabah Mohammed, Chee Keong Kwoh, Measuring Similarity by Prediction Class between Biomedical Datasets via Fuzzy Unordered Rule Induction, International Journal of Bio-Science & Bio-Technology, Apr2014, Vol. 6 Issue 2, p.159-168.

     

  19. Osama Mohammed, Sabah Mohammed, Jinan Fiaidhi, Simon Fong, Tai-hoon Kim, Clinical Narratives Context Categorization: The Clinician Approach using RapidMiner, Advanced Science and Technology Letters, Vol.51 (SIA 2014), pp.128-138.

     

  20. Simon Fong, Suash Deb, Sabu Thampi, Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis, Advances in Signal Processing and Intelligent Recognition Systems, Volume 264, Springer, Mar 2014, pp.171-182

     

  21. Iztok Fister Jr., Simon Fong, Janez Brest, Iztok Fister, Towards the Self-Adaptation of the Bat Algorithm, Proceedings of the 13th IASTED International Conference on Artificial Intelligence and Applications (AIA 2014), Innsbruck, February 17, 2014, pp.400-406

     

  22. Simon Fong, Zhicong Luo, Bee Wah Yap, Suash Deb, Incremental Methods for Detecting Outliers from Multivariate Data Stream, Proceedings of the 13th IASTED International Conference on Artificial Intelligence and Applications (AIA 2014), Innsbruck, February 17, 2014, pp.369-377

     

  23. Simon Fong, Suash Deb, Io-Weng Chan, P. Vijayakumar, An Event Driven Neural Network System for Evaluating Public Moods from Online Users' Comments, Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), Bangalore, IEEE, 17-19 Feb. 2014, pp.239-243

     

  24. K. Khan, Saif Ur Rehman, Khurram Aziz, Simon Fong, S. Sarasvady, DBSCAN: Past, Present and Future, Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), Bangalore, IEEE, 17-19 Feb. 2014, pp.232-238

     

  25. Hang Yang, Simon Fong, and Yan Zhuang, Mediating Dynamic Supply Chain Formation by Collaborative Single Machine Earliness/Tardiness Agents in Supply Mesh, Mathematical Problems in Engineering, vol. 2014, Article ID 535890, 21 pages, 2014. doi:10.1155/2014/535890. (Impact factor 0.802)

     

  26. Chen Wei, Richard Khoury, Simon Fong, Recommendation Systems for Web 2.0 Marketing, Data Mining for Service, Volume 3, Springer, Jan 2014, pp.171-196

     

  27. Kam Kin Lao, Suash Deb, Sabu M. Thampi, Simon Fong, A Novel Disease Outbreak Prediction Model for Compact Spatial-Temporal Environments, Advances in Signal Processing and Intelligent Recognition Systems, Volume 264, Springer, 2014, pp.439-450

     

  28. Xin-She Yang, Suash Deb and Simon Fong, Bat Algorithm is Better Than Intermittent Search Strategy, Journal of Multiple-Valued Logic and Soft Computing, 22(3), 2014, pp.223-237. (Impact factor 0.667)

     

  29. Hang Yang, Simon Fong, Kyungeun Cho, Junbo Wang, Atmospheric Pattern Recognition of Human Activities on Ubiquitous Sensor Network Using Data Stream Mining Algorithms, International Journal of Sensor Networks, Volume 20 Issue 3, March 2016, pp.147-162. (Impact factor 0.454)

 

 

2013  

 

  1. Suash Deb, Congmao Jia, Simon Fong, On-road Directional Trajectory Prediction by Junction-based Pattern Mining from GPS Data, International Conference on Machine Intelligence and Research Advancement (ICMIRA), Katra, IEEE, 21-23 Dec. 2013, pp.253-257

     

  2. Simon Fong, Suash Deb, Optimized Spatial Clustering for Target Finding and Maximum Effects, International Conference on Machine Intelligence and Research Advancement (ICMIRA), Katra, IEEE, 21-23 Dec. 2013, pp.247-252

     

  3. Simon Fong, Sabah Mohammed, Jinan Fiaidhi, Chee Keong Kwoh, Using Causality Modeling and Fuzzy Lattice Reasoning Algorithm for Predicting Blood Glucose, Expert Systems with Applications, Volume 40, Issue 18, Elsevier, December 2013, pp.7354–7366. (Impact factor 3.928)

     

  4. Bee Wah Yap, Khatijahhusna Abd Rani, Hezlin Aryani Abd Rahman, Simon Fong, Zuraida Khairudin, Nik Nik Abdullah, An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets, Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013), Volume 285 of the series Lecture Notes in Electrical Engineering, Springer, Dec 15 2013, pp.13-22

     

  5. Shirley W. I. Siu, Thomas K. F. Wong, Simon Fong, Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-Based Scoring Functions, Advanced Data Mining and Applications, Volume 8347 of the series Lecture Notes in Computer Science, Springer, Dec 14 2013, pp.336-347

     

  6. Simon Fong, Xin-She Yang, Suash Deb, Swarm Search for Feature Selection in Classification, IEEE 16th International Conference on Computational Science and Engineering (CSE), Sydney, IEEE, 3-5 Dec. 2013, pp.902-909.

     

  7. Hang Yang, Simon Fong, Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function, IEEE 16th International Conference on Computational Science and Engineering (CSE), Sydney, IEEE, 3-5 Dec. 2013, pp.910-916

     

  8. Simon Fong, Adaptive Forecasting of Earthquake Time Series by Incremental Decision Tree Algorithm, Information Journal, 16(12A), Dec 2013, pp.8387-8395

     

  9. Cecilia Ho, Simon Fong, Suash Deb, Fuzzy Association Rule Mining for Web Usage Visualization, ICCS - WILKES100 - Second International Conference on Computing Sciences 2013, ISBN: 9789351071723, Elsevier, Session 03 - Paper 35, 2013

     

  10. Justin Liang, Simon Fong, Suash Deb, Diabetics Prediction by Using Feature Selection Based on Coefficient of Variation, ICCS - WILKES100 - Second International Conference on Computing Sciences 2013, ISBN: 9789351071723, Elsevier, Session 03 - Paper 36, 2013

     

  11. Simon Fong, Yan Zhuang, Iztok Fister, Iztok Fister Jr, A Biometric Authentication Model Using Hand Gesture Images, BioMedical Engineering OnLine, 12(111), Oct 2013, pp.1-18. (Impact factor 1.683)

     

  12. Simon Fong, Yan Zhuang, Rui Tang, Xin-She Yang, and Suash Deb, Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search, Journal of Applied Mathematics, vol. 2013, Article ID 590614, 18 pages, 2013. doi:10.1155/2013/590614.

     

  13. Yunsick Sung, Seoungjae Cho, Kyhyun Um, Young-Sik Jeong, Simon Fong, and Kyungeun Cho, Human-Robot Interaction Learning Using Demonstration-Based Learning and Q-Learning in a Pervasive Sensing Environment, International Journal of Distributed Sensor Networks, Volume 2013 (2013), Article ID 782043, 8 pages. (Impact factor 1.239)

     

  14. Hang Yang, Simon Fong, Optimizing dynamic supply chain formation in supply mesh using CSET model, Information Systems Frontiers, September 2013, Volume 15, Issue 4, Springer, pp.569-588. (Impact factor 2.521)

     

  15. Yuchu Lin, Simon Fong, Performance Evaluation Management Model to Accelerate the Development of E-Government in China, Proceedings of the 7th International Conference on Theory and Practice of Electronic Governance, ACM, New York, 2013, pp.1-4

     

  16. Hang Yang, Simon Fong, Countering the Concept-Drift Problem in Big Data Using iOVFDT, Proceedings of the 2013 IEEE International Congress on Big Data, IEEE, Washington, 2013, pp.126-132

     

  17. Chen Wei, Richard Khoury, Simon Fong, Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm, Information Systems Frontiers, September 2013, Volume 15, Issue 4, Springer, pp.533-551. (Impact factor 2.521)

     

  18. Iztok Fister Jr., Iztok Fister, Duan Fister, Simon Fong, Data Mining in Sporting Activities Created by Sports Trackers, International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 24-26 Aug. 2013, pp.88-91

     

  19. Simon Fong, Miguel Gomes Da Costa, Richard Khoury, Air Cargo Scheduling Using Genetic Algorithms, International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 24-26 Aug. 2013, pp.170-173

     

  20. Simon Fong, Zhicong Luo, Bee Wah Yap, Incremental Learning Algorithms for Fast Classification in Data Stream, International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 24-26 Aug. 2013, pp.186-190

     

  21. Simon Fong, Yan Zhuang, Jinyan Li, Richard Khoury, Sentiment Anlaysis of Online News using MALLET, International Symposium on Computational and Business Intelligence (ISCBI), IEEE, New Delhi, 24-26 Aug. 2013, pp.301-304

     

  22. Simon Fong, Yang Zhang, Jinan Fiaidhi, Osama Mohammed, and Sabah Mohammed, Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy, BioMed Research International, vol. 2013, Article ID 274193, 16 pages, 2013. doi:10.1155/2013/274193. (Impact factor 2.476)

     

  23. Iztok Fister, Dušan Fister, Simon Fong, and Iztok Fister Jr., Widespread Mobile Devices in Applications for Real-time Drafting Detection in Triathlons, Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 3, pp.310-321, August 2013. Doi:10.4304/jetwi.5.3.310-321

     

  24. Simon Fong, Kun Lan, and Raymond Wong, Classifying Human Voices by Using Hybrid SFX Time-Series Preprocessing and Ensemble Feature Selection, BioMed Research International, vol. 2013, Article ID 720834, 27 pages, 2013. doi:10.1155/2013/720834. (Impact factor 2.476)

     

  25. Hang Yang, Simon Fong, Performance Evaluation of Incremental Decision Tree Learning Under Noisy Data Streams, International Journal of Computer Applications in Technology, 2013 Vol.47, No.2/3, pp.206-214. (ESCI)

     

  26. Simon Fong, Weng Fai Ip, Elaine Liu, and Kyungeun Cho, Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms, International Journal of Distributed Sensor Networks, vol. 2013, Article ID 763027, 20 pages, 2013. doi:10.1155/2013/763027. (Impact factor 1.239)

     

  27. Simon Fong, Opportunities and Challenges of Integrating Bio-inspired Optimization and Data Mining Algorithms, Swarm Intelligence and Bio-Inspired Computation: Theory and Applications, Elsevier, May 2013, pp.385–402  [source]

     

  28. Robert P. Biuk-Aghai, Roy Chi Kit Chan, Yain-Whar Si, Simon Fong, Visualizing recent changes in Wikipedia, Science China Information Sciences, May 2013, Volume 56, Issue 5, pp.1-15. (Impact factor 1.628)

     

  29. Simon Fong, Yap Bee Wah, A Prediction Model for Forecasting the Trend of Macau Property Price Movements and Understanding the Influential Factors, Journal of Emerging Technologies in Web Intelligence, Vol 5, No 2 (2013), pp.122-131, May 2013, doi:10.4304/jetwi.5.2.122-131

     

  30. Youme Hoi, Simon Fong, Design of All-in-one Distributed e-Learning System (ADES) Using Ubiquitous Files, Journal of Emerging Technologies in Web Intelligence, Vol 5, No 2 (2013), pp.196-204, May 2013, doi:10.4304/jetwi.5.2.196-204

     

  31. Hang Yang and Simon Fong, Improving Adaptability of Decision Tree for Mining Big Data, New Mathematics and Natural Computation, Volume 09, Issue 01, World Scientific, March 2013, pp.77-95. (ESCI)

     

  32. Yang Hang, Simon Fong, Stream Mining Dynamic Data by Using iOVFDT, Journal of Emerging Technologies in Web Intelligence, Vol 5, No 1 (2013), pp.78-86, Feb 2013, doi:10.4304/jetwi.5.1.78-86

     

  33. Simon Fong, Lan Kun, Paul Sun, Sabah Mohammed, Jinan Fiaidhi, A Time-series Pre-processing Methodology for Biosignal Classificatin Using Statistical Feature Extraction, Proceedings of the Tenth IASTED International Conference on Biomedical Engineering, Innsbruck, Feb 2013, DOI: 10.2316/P.2013.791-100

     

  34. Simon Fong, Luke Lu, Kun Lan, Osama Mohammed, Jinan Fiaidhi, Sabah Mohammed, Rule Generation and Evaluation by Data Mining Ensembles for Clinical Decision Support, Proceedings of the Tenth IASTED International Conference on Biomedical Engineering, Innsbruck, Feb 2013, DOI: 10.2316/P.2013.791-090

     

  35. Sabah Mohammed, Osama Mohammed, Jinan Fiaidhi, Simon Fong, Tai hoon Kim, Classifying Unsolicited Bulk Email (UBE) using Python Machine Learning Techniques, International Journal of Hybrid Information Technology, Vol. 6, No. 1, January 2013, pp.43-55

     

  36. Hang Yang and Simon Fong, Incremental Optimization Mechanism for Constructing a Decision Tree in Data Stream Mining, Mathematical Problems in Engineering, vol. 2013, Article ID 580397, 14 pages, 2013. doi:10.1155/2013/580397. (Impact factor 0.802)

 

 

2012  

 

  1. Simon Fong and Yan Zhuang, Using Medical History Embedded in Biometrics Medical Card for User Identity Authentication: Data Representation by AVT Hierarchical Data Tree, Journal of Biomedicine and Biotechnology, vol. 2012, Article ID 539395, 11 pages, 2012. doi:10.1155/2012/539395. (Impact factor 2.476)

     

  2. Simon Fong and Yan Zhuang, Using Medical History Embedded in Biometrics Medical Card for User Identity Authentication: Privacy Preserving Authentication Model by Features Matching, Journal of Biomedicine and Biotechnology, vol. 2012, Article ID 403987, 11 pages, 2012. doi:10.1155/2012/403987. (Impact factor 2.476)

     

  3. Van M. Chhieng, Raymond K. Wong, Simon Fong, Data Acquisition In Sensor Network Using An Autonomous Path, International Conference on Connected Vehicles and Expo (ICCVE), Beijing, IEEE, 12-16 Dec. 2012, pp.179-184

     

  4. Simon Fong, Yan Zhuang, Jiaying He, Not every friend on a social network can be trusted: Classifying imposters using decision trees, International Conference on Future Generation Communication Technology (FGCT), London, IEEE, 12-14 Dec. 2012, pp.58-63

     

  5. Simon Fong, Yan Zhuang, Maya Yu, Iris Ma, Quantitative Analysis of Trust Factors on Online Social Network using Data Mining Approach, International Conference on Future Generation Communication Technology (FGCT), London, IEEE, 12-14 Dec. 2012, pp.70-75

     

  6. Xin-She Yang, Mehmet Karamanoglu, Simon Fong, Bat Algorithm for Topology Optimization, International Conference on Future Generation Communication Technology (FGCT), London, IEEE, 12-14 Dec. 2012, pp.150-155

     

  7. Osama Mohammed, Rachid Benlamri, Simon Fong, Building a diseases symptoms ontology for medical diagnosis: An integrative approach, International Conference on Future Generation Communication Technology (FGCT), London, IEEE, 12-14 Dec. 2012, pp.104-108

     

  8. Simon Fong, Zhou Nannan, Raymond K. Wong, Xin-She Yang, Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network, IEEE 12th International Conference on Data Mining, OEDM, Brussels, IEEE, 10 Dec. 2012, pp.464-473

     

  9. Simon Fong, Xin-She Yang, Suash Deb, Nature-inspired Clustering Algorithms for Web Intelligence Data, IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), Macau, IEEE, 4-7 Dec. 2012, pp.147-153

     

  10. Rui Tang, Luke Lu, Yan Zhuang, Simon Fong, Not Every Friend on a Social Network Can be Trusted: An Online Trust Indexing Algorithm, IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), Macau, IEEE, 4-7 Dec. 2012, pp.280-285

     

  11. Hang Yang, Simon Fong, Guangmin Sun, and Raymond Wong, A Very Fast Decision Tree Algorithm for Real-Time Data Mining of Imperfect Data Streams in a Distributed Wireless Sensor Network, International Journal of Distributed Sensor Networks, vol. 2012, Article ID 863545, 16 pages, 2012. doi:10.1155/2012/863545. (Impact factor 1.239)

     

  12. Hang Yang, Simon Fong, Raymond Wong, and Guangmin Sun, Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network, International Journal of Distributed Sensor Networks, vol. 2013, Article ID 460641, 15 pages, 2013. doi:10.1155/2013/460641. (Impact factor 1.239)

     

  13. Saif Ur Rehman, Kamran Khan, Simon Fong, Robert Biuk-Aghai, An efficient new multi-language clone detection approach from large source code, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Seoul, IEEE, 14-17 Oct. 2012, pp.937-940

     

  14. Simon Fong, Yain-Whar Si, Jackie Tai, Trend Following Algorithms in Automated Derivatives Market Trading, Expert Systems with Applications, Volume 39, Issue 13, Elsevier, 1 October 2012, pp.11378–11390. (Impact factor 3.928)

     

  15. Chi Po Cheong, Simon Fong, Pouwan Lei, Chris Chatwin, Rupert Young, Designing an Efficient and Secure Credit Card-based Payment System with Web Services Based on ANSI X9.59-2006, Journal of Information Processing Systems, Vol.8, No.3, September 2012, pp.495-520. (ESCI)

     

  16. Hang Yang, Simon Fong, Yain-Whar Si, Multi-objective Optimization for Incremental Decision Tree Learning, Data Warehousing and Knowledge Discovery, Volume 7448 of the series Lecture Notes in Computer Science, Springer, Sep. 2012, pp.217-228

     

  17. Jinan Fiaidhi, Osama Mohammed, Sabah Mohammed, Simon Fong, Tai-hoon Kim, Mining twitterspace for information: Classifying sentiments programmatically using Java, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.249-255

     

  18. Jinan Fiaidhi, Osama Mohammed, Sabah Mohammed, Simon Fong, Tai-hoon Kim, Opinion mining over twitterspace: Classifying tweets programmatically using the R approach, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.313-319

     

  19. Jiahua Luo, Yain-Whar Si, Simon Fong, Trend Following With Float-encoding Genetic Algorithm, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.173-176

     

  20. Saif Rehman, Asmat Khan, Simon Fong, Graph Mining: A Survey of Graph Mining Techniques, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.88-92

     

  21. Yain-Whar Si, Se-Hang Cheong, Simon Fong, Robert Biuk-Aghai, Tat-Man Cheong, A Layered Approach to Link Analysis and Visualization of Event Data, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.181-185

     

  22. Rui Tang, Simon Fong, Xin-She Yang, Susah Deb, Integrating Nature-inspired Optimization Algorithms to K-means Clustering, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.116-123  [source]

     

  23. Rui Tang, Simon Fong, Xin-She Yang, Susah Deb, Wolf search algorithm with ephemeral memory, 2015 Seventh International Conference on Digital Information Management (ICDIM), IEEE, Macau, 22-24 Aug. 2012, pp.165-172  [source]

     

  24. Simon Fong, Antonio Cerone, Attribute Overlap Minimization and Outlier Elimination as Dimensionality Reduction Techniques for Text Classification Algorithms, Journal of Emerging Technologies in Web Intelligence, Vol 4, No 3 (2012), pp.259-263, Aug 2012, doi:10.4304/jetwi.4.3.259-263

     

  25. Simon Fong, Jackie Tai, Pit Pichappan, Trend Recalling Algorithm for Automated Online Trading in Stock Market, Journal of Emerging Technologies in Web Intelligence, Vol 4, No 3 (2012), pp.240-251, Aug 2012, doi:10.4304/jetwi.4.3.240-251

     

  26. Hang Yang, Simon Fong, Incrementally Optimized Decision Tree for Noisy Big Data, BigMine '12, Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, Beijing, ACM, Aug. 2012, pp.36-44

     

  27. Yang Zhang, Simon Fong, Jinan Fiaidhi, and Sabah Mohammed, Real-Time Clinical Decision Support System with Data Stream Mining, Journal of Biomedicine and Biotechnology, vol. 2012, Article ID 580186, 8 pages, 2012. doi:10.1155/2012/580186. (Impact factor 2.476)

     

  28. Hang Yang, Simon Fong, Incrementally Optimized Decision Tree for Mining Imperfect Data Streams, Networked Digital Technologies, Volume 293 of the series Communications in Computer and Information Science, Springer, April 2012, pp.281-296

     

  29. Simon Fong, Measuring Emotions from Online News and Evaluating Public Models from Netizens’ Comments: A Text Mining Approach, Journal of Emerging Technologies in Web Intelligence, Vol 4, No 1 (2012), pp.60-66, Feb 2012, doi:10.4304/jetwi.4.1.60-66

     

  30. Simon Fong, Framework of Competitor Analysis by Monitoring Information on the Web, Journal of Emerging Technologies in Web Intelligence, Vol 4, No 1 (2012), pp.77-83, Feb 2012, doi:10.4304/jetwi.4.1.77-83

     

  31. Antonio Cerone, Simon Fong, Siraj Ahmed Shaikh, Analysis of Collaboration Effectiveness and Individuals’ Contribution in FLOSS Communities, European Association of Software Science and Technology Journal, Volume 48, 2012, pp.43-48

     

  32. Simon Fong, Using Hierarchical Time Series Clustering Algorithm and Wavelet Classifier for Biometric Voice Classification, Journal of Biomedicine and Biotechnology, vol. 2012, Article ID 215019, 12 pages, 2012. doi:10.1155/2012/215019. (Impact factor 2.476)

 

 

2011  

 

  1. Yang Hang, Simon Fong, Optimized Very Fast Decision Tree with Balanced Classification Accuracy and Compact Tree Size, The 3rd International Conference on Data Mining and Intelligent Information Technology Applications (ICMIA2011), IEEE Press, 24-26 October 2011, Macau, pp.57-64

     

  2. Yang Hang, Simon Fong, OVFDT with Functional Tree Leaf - Majority Class, Naive Bayes and Adaptive Hybrid Integrations, The 3rd International Conference on Data Mining and Intelligent Information Technology Applications (ICMIA2011), IEEE Press, 24-26 October 2011, Macau, pp.65-70

     

  3. Cheng Man Ma, Yan Zhuang, Simon Fong, Information Sharing over Disparate Social Networks using XACML, IEEE International Conference on e-Business Engineering (ICEBE 2011), IEEE Press, 19-21 October 2011, Beijing, China, pp.161-167

     

  4. Yang Hang, Simon Fong, Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning, Data Warehousing and Knowledge Discovery, Volume 6862 of the series Lecture Notes in Computer Science, Springer, Sep. 2011, pp.471-483

     

  5. Tang Rui, Simon Fong, Sababady Sarasvady, Expert Finding and Query Answering for Collaborative Inter-Organizational System by Using Rule Responder, IEEE Sixth International Conference on Digital Information Management (ICDIM 2011), 26-28 September 2011, Melbourne, Australia, pp.162-167

     

  6. Khalid Iqbal, Sohail Asghar, Simon Fong, A PPDM Model Using Bayesian Network for Hiding Sensitive XML Association Rules, IEEE Sixth International Conference on Digital Information Management (ICDIM 2011), 26-28 September 2011, Melbourne, Australia, pp.30-35

     

  7. Talha Anwar, Sohail Asghar, Simon Fong, Bayesian Based Subgroup Discovery, IEEE Sixth International Conference on Digital Information Management (ICDIM 2011), 26-28 September 2011, Melbourne, Australia, pp.154-161

     

  8. Simon Fong, Zhou Nannan, Towards an Adaptive Forecasting of Earthquake Time Series from Decomposable and Salient Characteristics, The Third International Conferences on Pervasive Patterns and Applications (PATTERNS 2011), 25-30 September 2011, Rome, Italy, pp.53-60

     

  9. Simon Fong, Jackie Tai, Improved Trend Following Trading Model by Recalling Past Strategies in Derivatives Market, The Third International Conferences on Pervasive Patterns and Applications (PATTERNS 2011), 25-30 September 2011, Rome, Italy, pp.31-36

     

  10. Simon Fong, Ho Si Meng, Ma Cheng I, Visualizing Multiple Websites with Views of Structural Growth, Dynamic Performance and Peer Comparison, The Third International Conferences on Pervasive Patterns and Applications (PATTERNS 2011), 25-30 September 2011, Rome, Italy, pp.37-40

     

  11. Yap Bee Wah, Nor Huwaina Ismail, Simon Fong, Predicting Car Purchase Intent Using Data Mining Approach, The 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011), IEEE Press, 26-28 July 2011, Shanghai, China, pp.1994-1999

     

  12. Xin-She Yang, Suash Deb, Simon Fong, Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications, Networked Digital Technologies, Volume 136 of the series Communications in Computer and Information Science, Springer, July 2011, pp.53-66

     

  13. Mohsin Naqvi, Kashif Hussain, Sohail Asghar, Simon Fong, Mining Temporal Association Rules with Incremental Standing for Segment Progressive Filter, Networked Digital Technologies, Volume 136 of the series Communications in Computer and Information Science, Springer, July 2011, pp.373-382

     

  14. Sheneela Naz, Sohail Asghar, Simon Fong, Amir Qayyum, Multi-way Association Clustering Analysis on Adaptive Real-Time Multicast Data, Networked Digital Technologies, Volume 136 of the series Communications in Computer and Information Science, Spring, July 2011, pp.383-394

     

  15. Simon Fong, Adaptive QoS Resource Management by Using Hierarchical Distributed Classification for Future Generation Networks, Recent Trends in Wireless and Mobile Networks, Volume 162 of the series Communications in Computer and Information Science, Springer, June 2011, pp.266-278

     

  16. Simon Fong, Integrating RFID Technology in Internet Applications, Recent Trends in Wireless and Mobile Networks, Volume 162 of the series Communications in Computer and Information Science, Springer, June 2011, pp.207-216

     

  17. Aakif Nazeer Khan, Sohail Asghar, Simon Fong, Framework of integrated Semantic Web Services and Ontology Development for Telecommunication Industry, Journal of Emerging Technologies in Web Intelligence, Vol 3, No 2 (2011), pp.110-119, May 2011, doi:10.4304/jetwi.3.2.110-119

     

  18. Aakif Nazeer Khan, Sohail Asghar, Simon Fong, Evaluation of Semantic Web Services: Before and After Applying in Telecommunication, Journal of Emerging Technologies in Web Intelligence, Vol 3, No 2 (2011), pp.120-135, May 2011, doi:10.4304/jetwi.3.2.120-135

     

  19. Simon Fong, Data Mining for Resource Planning and QoS Supports in GSM Networks, Journal of Emerging Technologies in Web Intelligence, Vol 3, No 2 (2011), pp.100-109, May 2011, doi:10.4304/jetwi.3.2.100-109

     

  20. Simon Fong, Hang Yang The Six Technical Gaps between Intelligent Applications and Real-Time Data Mining: A Critical Review, Journal of Emerging Technologies in Web Intelligence, Vol 3, No 2 (2011), pp.63-73, May 2011, doi:10.4304/jetwi.3.2.63-73

     

  21. Simon Fong, Jackie Tai, Yain Whar Si, Trend Following Algorithms for Technical Trading in Stock Market, Journal of Emerging Technologies in Web Intelligence, Vol 3, No 2 (2011), pp.136-145, May 2011, doi:10.4304/jetwi.3.2.136-145

     

  22. Yang Hang, Simon Fong, Wei Chen, Aerial Root Classifiers for Predicting Missing Values in Data Stream Decision Tree Classification2011 SIAM International Conference on Data Mining (SDM 2011), WS03, April 28-30, 2011, Mesa, Arizona, USA, pp.1-10

     

  23. Wei Chen, Simon Fong, Gia Kim, Multi-Collaborative Filtering Trust Network Model for Web 2.0 Recommender, 2011 SIAM International Conference on Data Mining (SDM 2011), WS02, April 28-30, 2011, Mesa, Arizona, USA, pp.11-20

     

  24. Hongbin Wang, Zhiyi Fang, Simon Fong, Yain-Whar Si, Liyang Liu, Experimental Research on DFA-Based MLML IDS Security Evaluation, 8th International Conference on Information Technology: New Generations (ITNG 2011), 11-13 April 2011, Las Vegas, Nevada, USA, pp.370-375 

     

  25. Liyang Liu, Simon Fong, Evaluation of e-Commerce Websites by Multi-Criteria Decision Analysis, IADIS e-Society 2011 (ES 2011), 10-13 March 2011, Avila, Spain, pp.377-381

     

  26. Liyang Liu, Simon Fong, Andy Ip, Grid-based Hierarchical Clustering For Spatial Resource Allocation, IADIS e-Society 2011 (ES 2011), 10-13 March 2011, Avila, Spain, pp.513-517

     

  27. Chan Io Weng, Simon Fong, Suash Deb, An Analytical model for Evaluating Public Moods Based on Internet Comments, National Conference on Data Mining (NCDM 2011), 19-20 February 2011, Pune, India

     

  28. Yang Hang, Simon Fong, Andy Ip, Sabah Mohammed, Case-based and Stream-based Classification in Biomedical Application, The Eighth IASTED International Conference on Biomedical Engineering (Biomed 2011), 16-18 February 2011, Innsbruck, Austria, pp.207-214

     

  29. Simon Fong, Andy Ip, Sabah Mohammed, A Multi-Level Biomedical Classification Model By Using Abstraction And Aggregation Techniques, The Eighth IASTED International Conference on Biomedical Engineering (Biomed 2011), 16-18 February 2011, Innsbruck, Austria, pp.198-206

     

  30. Simon Fong, Yang Hang, Enabling Real-time Business Intelligence by Stream Data Mining, Book Chapter of Data Mining, Kimito Funatsu (Ed.), ISBN: 978-953-307-547-1, Intech, 05 January 2011, Vienna, Austria,

 

 

2010  

 

  1. Shaukat Ali Khan, Sohail Asghar, Simon Fong, Modeling TSP with Particle Swarm Optimization and Genetic Algorithm, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea,pp.455-459

     

  2. Tasawar Hussain, Sohail Asghar, Simon Fong, A Hierarchical Cluster Based Preprocessing Methodology for Web Usage Mining, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.472-277

     

  3. Khalid Iqbal, Sohail Asghar, Simon Fong, Hiding Sensitive XML Association Rules via Bayesian Network, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.478-484

     

  4. Muhammad Naeem, Sohail Asghar, Shahzad Rafiq Irfan, Simon Fong, Multilevel Classification Scheme for AGV Perception, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.485-489

     

  5. Muhammad Naeem, Sohail Asghar, Simon Fong, Hiding Sensitive Association Rules Using Central Tendency, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.478-484

     

  6. Andy Ip, Simon Fong, Elaine Liu, Optimization for Allocating BEV Recharging Stations in Urban Areas by Using Hierarchical Clustering, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.460-465

     

  7. Yang Hang, Simon Fong, Stream Mining Over Fluctuating Network Traffic at Variable Data Rates, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.436-441

     

  8. Yang Hang, Simon Fong, An Experimental Comparison of Decision Trees in Traditional Data Mining and Data Stream Mining, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.442-447

     

  9. Simon Fong, Alice Tang, A Taxonomy-based Classification Model by Using Abtraction and Aggregation, The 6th International Conference on Advanced Information Management and Service (IMS 2010), 30 November - 2 December 2010, Seoul, Korea, pp.448-454

     

  10. Yang Hang, Simon Fong, The Impacts of Data Stream Mining on Real-Time Business Intelligence, The 2nd International Conference on IT and Business Intelligence (ITBI 2010), IMTCJ, ISSN: 2229-6743, 12-14 November 2010, Nagpur, India, pp.9-19 

     

  11. Yang Hang, Simon Fong, Evaluating Hoeffding Tree Algorithm in Real-time Web Applications Environment, The 2nd International Conference on IT and Business Intelligence (ITBI 2010), IMTCJ, ISSN: 2229-6743, 12-14 November 2010, Nagpur, India, pp.110-12

     

  12. Yang Hang, Simon Fong, Investigating the Impact of Bursty Traffic on Hoeffding Tree Algorithm in Stream Mining over Internet, The 2nd International Conference on Evolving Internet (INTERNET 2010), September 2010, Valencia, Spain, pp.147-152

     

  13. Wei Chen, Simon Fong, Social Network Collaborative Filtering Framework and Online Trust Factors: a Case Study on Facebook, The 5th International Conference on Digital Information Management (ICDIM 2010), July 2010, Thunder Bay, Canada, pp.266-273

     

  14. Yang Hang, Simon Fong, Real-time Business Intelligence System Architecture with Stream MiningThe 5th International Conference on Digital Information Management (ICDIM 2010), July 2010, Thunder Bay, Canada, pp.29-34

     

  15. Ho Si Meng, Simon Fong, Visualizing e-Government Portal and Its Performance in WEBVS, The 5th International Conference on Digital Information Management (ICDIM 2010), July 2010, Thunder Bay, Canada, pp.315-320

     

  16. Muhammad Usman, Sohail Asghar, Simon Fong, Data Mining and Automatic OLAP Schema Generation, The 5th International Conference on Digital Information Management (ICDIM 2010), July 2010, Thunder Bay, Canada, pp.35-43

     

  17. Naeem Ur Rehman, Sarfraz Bibi, Sohail Asghar, Simon Fong, Comparative Study of Goal-Oriented Requirements Engineering, The 4th International Conference on New Trends in Information Science and Service Science, 11-13 May 2010, Gyeongju, Korea, pp.248-253

     

  18. Sohail Asghar, Asif Muhammad Malik, Muhammad Safeer, Umm-e-Habiba, Simon Fong, Analytical Framework for Studying the Effects of User Participation in DSS Development, The 4th International Conference on New Trends in Information Science and Service Science, 11-13 May 2010, Gyeongju, Korea, pp.254-259

     

  19. Muhammad Usman, Sohail Asghar, Simon Fong, Integrated Performance and Visualization Enhancements of OLAP Using Growing Self Organizing Neural Networks, Journal of Advances in Information Technology (JAIT), Academy Publisher, ISSN 1798-2340, Vol 1, No 1, Feb 2010, pp.26-37

     

  20. Yang Hang, Simon Fong, Zhuang Yan, CSET Automated Negotiation Model for Optimal Supply Chain Formation, World Review of Science, Technology and Sustainable Development (WRSTSD), Vol. 7, Nos. 1/2, 2010, pp.67-78

     

  21. Robert P. Biuk-Aghai, Yain-Whar Si, Simon Fong, Peng-Fan Yan, ​Security in Physical Environments: Algorithms and System for Automated Detection of Suspicious Activity, International Workshop on Behavior Informatics (BI 2010) in conjuction with the 14th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), June 2010, Hyderabad, India

 

 

2009  

 

  1. Iok-Fai Leong, Yain Whar Si, Simon Fong and Robert Biuk-Aghai, Critical Path Based Approach for Predicting Temporal Exceptions in Resource Constrained Concurrent Workflows, 3rd International Workshop on Applications of Information Management and Integration in Digital Ecosystems, in conjunction with iiWAS 2009, 14-16 December 2009, Kuala Lumpur, Malaysia, pp.711-717 

     

  2. Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Applying a Hybrid Model of Neural Network and Decision Tree Classifier for Predicting University Admission, The Seventh International Conference on Information, Communications and Signal Processing (ICICS 2009), 7-10 December 2009, Macau, pp.1-5

     

  3. Sohail Asghar, Simon Fong, Touqeer Hussain, Business Intelligence Modeling: A Case Study of Disaster Management Organization in Pakistan, The 4th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2009), 24-26 November 2009, Seoul, Korea, pp.637-638

     

  4. Sohail Asghar, Simon Fong, Rukhsana, A Contemplation of Group Decision Support System, The 4th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2009), 24-26 November 2009, Seoul, Korea, pp.647-652

     

  5. Sohail Asghar, Simon Fong, Rukhsana, Saqib Subhan, Assimilation of Heterogeneous Resources by Utilizing a Unified Format of XML for Constructing OLAP Cubes, The 4th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2009), 24-26 November 2009, Seoul, Korea, pp.667-672

     

  6. Simon Fong, Zhuang Yan, Design of a Web-based Tendering System for e-Government Procurement, The 3rd International Conference on Theory and Practice of Electronic Governance (ICEGOV 2009), 10-13 November 2009, Bogota, Colombia, pp.321-328

     

  7. Simon Fong, Ho Si Meng, A Web-based Performance Monitoring System for e-Government Portal, The 3rd International Conference on Theory and Practice of Electronic Governance (ICEGOV 2009), 10-13 November 2009, Bogota, Colombia, pp.74-82

     

  8. Simon Fong, Robert P. Biuk-Aghai, An Automated University Admission Recommender System for Secondary School Students, The 6th International Conference on Information Technology and Applications (ICITA 2009), 9 - 12 November 2009, Hanoi, Vietnam

     

  9. Yain-Whar Si, Kan-Ion Leong, Robert P. Biuk-Aghai, Simon Fong, Hidden Cluster Detection for Infectious Disease Control and Quarantine Management, Proceedings of the 2009 Visual Information Communications International (VINCI 2009), Chapter 10, Springer, 24-25 September 2009, Sydney, Australia, pp.159-172

     

  10. Muhammad Usman, Sohail Asghar, Simon Fong, A Conceptual Model for Combining Enhanced OLAP and Data Mining Systems, The 5th International Conference on Networked Computing, 25-27 August 2009, Seoul, Korea, pp.1958-1963

     

  11. Henry Yang, Simon Fong, A Framework of Business Intelligence-driven Data Mining for e-Business, The 5th International Conference on Networked Computing, 25-27 August 2009, Seoul, Korea, pp.1964-1970

     

  12. Simon Fong, Jackie Tai, The Application of Trend Following Strategies in Stock Market Trading, The 5th International Conference on Networked Computing, 25-27 August 2009, Seoul, Korea, pp.1971-1976

     

  13. Yang Hang, Simon Fong, Zhuang Yan, Decision-support for Optimizing Supply Chain Formation Based on CSET Model, The 11th IEEE Conference on Commerce and Enterprise Computing (CEC 2009), 20-23 July 2009, Vienna, Austria, pp.106-113

     

  14. Yang Hang, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Simulating Competition Schemes in Agent-mediated Supply Chain Ecosystems, The Third IEEE International Conference on Digital Ecosystems and Technologies (DEST 2009), 1-3 June 2009, Istanbul, Turkey, pp.569-574

     

  15. Robert P. Biuk-Aghai, Libby Veng-Sam Tang, Simon Fong, Yain-Whar Si, Wikis as Digital Ecosystems: An Analysis Based on Authorship, The Third IEEE International Conference on Digital Ecosystems and Technologies (DEST 2009), 1-3 June 2009, Istanbul, Turkey, pp.581-586

     

  16. Kan-Ion Leong, Yain-Whar Si, Robert P. Biuk-Aghai, Simon Fong, Contact Tracing in Healthcare Digital Ecosystems for Infectious Disease Control and Quarantine Management, The Third IEEE International Conference on Digital Ecosystems and Technologies (DEST 2009), 1-3 June 2009, Istanbul, Turkey, pp.306-311

 

 

2008  

 

  1. Yang Hang, Simon Fong, Double-agent Architecture for Collaborative Supply Chain Formation, The 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2008), Linz, Austria, 24-26 November 2008, ACM, ISBN:978-1 60558-349-5, pp.411-416

     

  2. Simon Fong, Yang Hang, On Designing a Market Monitoring Web Agent System, The 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2008), Linz, Austria, 24-26 November 2008, ACM, ISBN:978-1-60558-349-5, pp.286-291

     

  3. Edison Lai, Simon Fong, Yang Hang, Supporting Mobile Payment QOS by Data Mining GSM Network Traffic, The 10th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2008), Linz, Austria, 24-26 November 2008, ACM, ISBN:978-1-60558-349-5, pp.279-285

     

  4. Henry Ho, Simon Fong, Zhuang Yan, User Acceptance Testing of Mobile Payment in Various Scenarios, IEEE International Conference on e-Business Engineering (ICEBE 2008), Xian, China, 22-24 October 2008, pp.341-348

     

  5. Simon Fong, Yvonne Ho, Yang Hang, Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders, The Eighth IEEE International Conference on Hybrid Intelligent Systems (HIS 2008), Barcelona, Spain, 10-12 September 2008, pp.174-179

     

  6. Yang Hang, Simon Fong, Zhuang Yan, Applying Pareto-Optimal and JIT Techniques for Supply ChainsThe Eighth IEEE International Conference on Hybrid Intelligent Systems (HIS 2008), Barcelona, Spain, 10-12 September 2008, pp.308-313

     

  7. Libby Veng-Sam Tang, Robert P. Biuk-Aghai, Simon Fong, A Method for Measuring Co-authorship Relationships in MediaWiki, The 2008 International Symposium on Wikis (WikiSym 2008), Porto, Portugal, 8-10 September 2008

     

  8. Simon Fong, Yang Hang, On Improving the Lightweight Video Encryption Algorithms for Real-time Video Transmission, The Third International Conference on Communications and Networking in China (ChinaCom 2008), Huangzhou, China, 25-27 August 2008, pp.12871-1293 

     

  9. Robert P. Biuk-Aghai, Simon Fong, Yain-Whar Si, Design of a Recommender System for Mobile Tourism Multimedia Selection, The 2nd International Conference on Internet Multimedia Services Architecture and Application (IMSAA 2008), Bangalore, India, 10-12 December 2008, pp.1-6

     

  10. Yang Hang, Simon Fong, Zhuang Yan, A Double Agent-Based Framework of CSET Negotiation Model for Optimal Supply Chain Formation, The 5th International Conference on Information Technology and Applications (ICITA 2008), Cairns, Queensland, Australia, 23-26 June 2008 

     

  11. Zhuang Yan, Simon Fong, Meilin Shi, Knowledge-empowered automated negotiation system for e-Commerce, Journal of Knowledge and Information Systems, Springer London, Volume 17, Number 2, November, 2008, pp.167-191. (Impact factor 2.004)

 

2007  

 

  1. Zhuang Yan, Simon Fong, A Model of B2B Negotiation using Knowledge, IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), California, USA, 2-5 November 2007, pp.829-832

     

  2. Antonio Leong, Simon Fong, Zhuang Yan, A Logical Model for Detecting Irregular Actions in Physical Access Environment, The 18th International Conference on Database and Expert Systems Applications (DEXA 2007), Regensburg, Germany, 3-7 September 2007, pp.560-564 

     

  3. Zhuang Yan, Francis Yan, Simon Fong, Incorporating Knowledge into e-Commerce Automated Negotiation, The 18th International Conference on Database and Expert Systems Applications (DEXA 2007), Regensburg, Germany, 3-7 September 2007, pp.600-604

     

  4. Simon Fong, Zhuang Yan, A Security Model for Detecting Suspicious Patterns in Physical Environment, The Third International Symposium on Information Assurance and Security (IAS 2007), Manchester, UK, 29-31 August 2007, pp.221-226

     

  5. Chi Po Cheong, Simon Fong, Pouwan Lei, Efficient and Secure Card-based Payment System Based on ANSI X9.59-2006, The 9th IEEE International Conference on E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE 2007), Tokyo, Japan, 23-26 July 2007, pp.247-254

     

  6. Francis Yan, Robert P. Biuk-Aghai, Simon Fong, Yain-Whar Si, Detection of Suspicious Patterns in Secure Physical Environments, The 4th International Conference on Information Technology and Applications (ICITA 2007), Sydney, Australia, January 2007, pp.40-45

 

 

2005  

 

  1. Zhuang Yan, Simon Fong, Meilin Shi, Knowledge-Empowered Agent Negotiation for Electronic Commerce with Knowledge Beads, ITI 3rd International Conference on Information and Communications Technology, 2005: Enabling Technologies for the New Knowledge Society (ICICT 2005), Cairo, Egypt, 5-6 December 2005, pp.633-653

     

  2. Simon Fong, Edison Lai, Mobile Mini-payment Scheme Using SMS-Credit, The International conference on computational science and its applications (ICCSA 2005), Singapore, 9-12 May 2005, Lecture notes in computer science, ISSN 0302-9743, Springer, Berlin, pp.1106-1116

     

  3. Simon Fong, A Collective Data-Mining Framework For Medical Prognosis, The Second International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, March 2005, pp.616-624

     

  4. Antonio Leong, Simon Fong, Physical Access Control With Smart Intrusion Tracking And Hunting Agent, The Second International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, March 2005, pp.443-451

 

 

2004  

 

  1. Antoinette Leung, Zhuang Yan, Simon Fong, On Designing a Flexible E-Payment System with Fraud Detection Capability, IEEE International Conference on e-Technology (CEC 2004), San Diego, California, USA, 6-9 July 2004, pp.236-243

     

  2. Antonio Leung, Simon Fong, Shirley Siu, Smart Card-based Irregular Access Patterns Detection System, IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2004), Tapei, Taiwan, 28-31 March 2004, pp.546-553

     

  3. Zhuang Yan, Simon Fong, Meilin Shi, Knowledge Oriented Negotiation for Agent-based B2B Electronic Commerce, IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2004), Tapei, Taiwan, 28-31 March 2004, pp.421-424

     

  4. Simon Fong, Shirley Siu, An Integrative Framework of Predictive Mining Methods for Medical Prognosis, IASTED The 2nd International Conference on Biomedical Engineering (BioMED 2004), Innsbruck, Austria, 16-18 February 2004

     

  5. Zhuang Yan, Simon Fong, Meilin Shi, Knowledge Management in Agent Negotiation for Electronic Commerce Using Knowledge Beads, IASTED The International Conference on Artificial Intelligence and Applications (AIA 2004), Innsbruck, Austria, 16-18 February 2004

     

  6. Simon Fong, Shirley Siu, Sun Aixin, Market Watcher Agent for E-Commerce, IASTED The International Conference on Artificial Intelligence and Applications (AIA 2004), Innsbruck, Austria, 16-18 February 2004

     

  7. Antonio Leung, Simon Fong, Shirley Siu, Smart Card-based Identification and Access Control Model with Real-time Suspicious Action Detection Mechanism, IASTED The International Conference on Artificial Intelligence and Applications (AIA 2004), Innsbruck, Austria, 16-18 February 2004

 

 

2003  

 

  1. Zhuang Yan, Simon Fong, Meilin Shi, Negotiation Paradigms for E-Commerce Agents using Knowledge Beads Methodology, 2003 International Conference on Cyberworlds, Singapore, 3-5 December 2003, pp.279-286

     

  2. Zhuang Yan, Simon Fong, Meilin Shi, Negotiation Paradigms Based on Knowledge Bead's Methodology, IEEE/WIC International Conference on Web Intelligence (WI 2003), Halifax, Canada, 13-17 October 2003, pp.694-697

     

  3. Shirley Siu, Simon Fong, Z.S. Guo, and K.-F. SiTou, Context-aware for Service Discovery in Ad Hoc Environment, IASTED The International Conference on Wireless and Optimal Communications, Banff, Canada, 14-16 July 2003

     

  4. Zhuang Yan, Simon Fong, Automated Negotiation with Multiple Concept-based Alternatives in Multi-agent Systems, The 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), Innsbruck, Austria, 10-13 February 2003, pp.1296-1301

 

 

2002  

 

  1. Simon Fong, S. Chan, Mining Online Users' Access Records for Web Business Intelligence, IEEE International Conference on Data Mining (ICDM 2002), Maebashi, Japan, 9-12 December 2002, pp.759-762

     

  2. Simon Fong, Shirley Siu, Aixin Sun, WebSpy: Retrieving Web Contents for e-Business Intelligence, The First International Conference on Information Technology and Applications (ICITA 2002), Bathurst, Australia, 24-28 November 2002, pp.123-131

     

  3. Shirley Siu, Guo Z.S., Simon Fong, Zhuang Yan, Extending E-ticketing Service with Mobile Transaction, The First International Conference on Information Technology and Applications (ICITA 2002), Bathurst, Australia, 24-28 November 2002, pp.232-240

     

  4. Antonio Leung, Simon Fong, Edison Lai, Mining Operational Data for Improving GSM Network Performance, International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age (FSKD 2002), Orchid Country Club, Singapore, 18-22 November 2002, ISBN 981-04-7520-9, pp.285-289

     

  5. Simon Fong, Zhuang Yan, A Concept-based Model to Facilitate Automated Negotiation in Multi-agent Systems, The Second International Workshop on Intelligent Systems Design and Applications (ISDA 2002), Atlanta, USA, 07-08 August 2002

     

  6. Simon Fong, Zhuang Yan, Exploring the Future of B2B E-Commerce in China, The 13th Chinese Process Control Conference, Zhuhai, China, 29 July - 2 August 2002, pp.790-794

     

  7. Simon Fong, Zhuang Yan, Pratik Burman Ray, Samar Singh, An Efficient Digital Watermarking Algorithm for MPEG Video, IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Crete, Greece, 25-28 June 2002

     

  8. Simon Fong, Zhuang Yan, S. Chan, Access-Control Architecture to Support E-CRM and Distributed Data Mining, The 6th International Conference on Intelligent Engineering Systems (INES 2002), Opatija, Croatia, 26-28 May 2002, pp.279-286

     

  9. Simon Fong, Zhuang Yan, Enabling Agent Negotiation in e-Trading Environments Through Knowledge Beads, The 6th International Conference on Intelligent Engineering Systems (INES 2002), Opatija, Croatia, 26-28 May 2002, pp.303-308

 

 

2001  

 

  1. Simon Fong, Aixin Sun, Kin Keong Wong, Price Watcher Agent for E-Commerce, The Second Asia-Pacific Conference on Intelligent Agent Technology (IAT-2001), Maebashi, Japan, 23-26 October 2001, pp.294-300

 

 

2000  

 

  1. Yap Ma Tit, Simon Fong, David Hutchison, ATM QoS Support via Output Port Controllers, IEEE International Conference on Communications (ICC 2000), New Orleans, USA, 18-22 June 2000, Volume 2, pp.708-712

     

  2. Simon Fong, S. Chan, Modeling Personnel and Roles for E-Commerce Retail, 2000 ACM SIGCPR conference on Computer Personnel Research, Chicago, USA, 6-8 April 2000, pp.45-530

     

  3. Simon Fong, Value-added-services for E-Retailing, Research Link Journal, Technical Report, School of Applied Science, Nanyang Technological University, 2000, Singapore

     

  4. Simon Fong, C.W. Chan, Yap Ma Tit, E-Commerce Workflow Systems, Research Link Journal, Technical Report, School of Applied Science, Nanyang Technological University, 2000, Singapore

 

 

1999  

 

  1. Simon Fong, S. Chan, Object-Oriented Design of an E-Commerce System for Retailing Business, The 5th International Conference on Computer Science (ICSC 1999), Hong Kong, 13-15 December 1999, Volume 1749, pp.176-185, Lecture notes in computer science, ISSN 3-540-66903-5, Springer

     

  2. Chin Koh Poh, Simon Fong, Knowledge Beads - Approach for Knowledge Representation and Market Place Negotiations for Internet Agents, The 5th International Conference on Computer Science (ICSC 1999), Hong Kong, 13-15 December 1999, Volume 1749, pp.467-473, Lecture notes in computer science, ISSN 3-540-66903-5, Springer

     

  3. Simon Fong, Anil Gupta, Hierarchical Architecture of QoS Management using Resource Reservation in Advance, IEEE International Conference on The Second International Conference on Information, Communication and Signal Processing (ICICS 1999), Singapore, 7 10 December 1999

     

  4. Y.H. Wong, X. Ye, Anil Gupta, Simon Fong, An Adaptive Mechanism for Guaranteeing QoS on Internet with Heavy Multimedia Traffic, 4th IEEE Malaysia International Conference on Communications (MICC 1999), Melaka, Malaysia, 17-19 November 1999

     

  5. Liu Yi, Simon Fong, Anil. Gupta, Efficient Bandwidth Allocation for Multiplexing MPEG Video Streams Using Synchronization Control, 4th IEEE Malaysia International Conference on Communications (MICC 1999), Melaka, Malaysia, 17-19 November 1999

     

  6. Lau Puay Hwa, Simon Fong, Internet RFID: An Experimental Prototype, 4th IEEE Malaysia International Conference on Communications (MICC 1999), Melaka, Malaysia, 17-19 November 1999

     

  7. Yap Ma Tit, Simon Fong, David Hutchison, Design and Performance Evaluation of an ATM QoS Controller, 4th IEEE Malaysia International Conference on Communications (MICC 1999), Melaka, Malaysia, 17-19 November 1999

     

  8. Yap Ma Tit, Simon Fong, David Hutchison, Guaranteeing Delay in ATM Switches by using Output Port QoS Controllers, Electronics Letters, IET Journals, Volume 35, Issue 23, ISSN: 0013-5194, 11 November 1999, pp.2002 - 2003. (Impact factor 1.155)

     

  9. Simon Fong, Framework for the Effective Management of an E-Commerce Shopping Mall, Second International Conference on Telecommunications and Electronic Commerce (ICTEC 1999), Nashville, USA, 6-8 October 1999

     

  10. Simon Fong, S. Chan, IMIS: Intelligent Marketing Information System for a Successful E-Commerce Retailing Business, 1999 Asia Pacific Web Conference (APWEB 2009), also appears in World Wide Web: Technologies and Applications for the New Millennium, 27 September 1999, Hong Kong, G.H. Young (ed.), CSREA Press

     

  11. Chin Koh Poh, Simon Fong, Hierarchy of Inheritable Rule-based Intelligence and Knowledge Beads Mapping-approach for Building a Multi-purpose Intelligent Matching Agent, 1999 Asia Pacific Web Conference (APWEB 2009), also appears in World Wide Web: Technologies and Applications for the New Millennium, 27 September 1999, Hong Kong, G.H. Young (ed.), CSREA Press

 

 

1998  

 

  1. Simon Fong, Samar Singh, Queuing Analysis of Shared-buffer Switches with Control Scheme under Bursty Traffic, Computer Communications, March 1998, Elsevier Science, Volume 21, pp.1681-1692. (Impact factor 3.338)

     

  2. Simon Fong, Samar Singh, Performance Analysis of Shared Buffer ATM Switches, International Journal of Communication Systems, Volume 11, Issue 4, 1998, pp.265-274, John Wiley & Sons. (Impact factor 1.066)

     

  3. Simon Fong, Samar Singh, Modelling Cell Departure for Shared Buffer ATM Switch, International Conference on Communications (ICC 1998), Atlanta, USA, 7-11 June 1998, Volume 3, pp.1824-1828

     

  4. Simon Fong, Samar Singh, Performance Analysis of Shared Buffer ATM Switch with Different Cell Departure Models, IEEE International Conference on Performance, Computing and Communications (IPCCC 1998), Arizona, USA, 16-18 Feburary 1998, pp.386-392

 

 

1997  

 

  1. Simon Fong, Samar Singh, Analytical Modelling of Shared Buffer ATM Switches with Backpressure Control Schemes, The 2nd IEEE International Workshop on Broadband Switching Systems (IEEE BSS 1997), Workshop Theme 'Switching Systems for the Broadband Internet and for QoS on Demand', Taiwan, 2-4 December 1997, pp.72-83

     

  2. Simon Fong, Samar Singh, Performance Analysis of Backpressure Control Schemes for Shared Buffer Multistage ATM Network, IEEE Malaysian International Conference on Communication (MICC 1997), Kuala Lumpur, November 1997

     

  3. Simon Fong, Mohammed Atiquzzaman, Samar Singh, An Analytical Model and Performance Analysis of Shared Buffer ATM Switches under Non-uniform Traffic, International Journal of Computer Systems Science and Engineering, Special Issue on ATM Networks, March 1997, pp.81-94

     

  4. Simon Fong, Samar Singh, Performance Evaluation of Shared-Buffer ATM Switches under Self-Similar Traffic, IEEE International Conference on Performance, Computing, and Communications (IPCCC 1997), Arizona, USA, 5-7 February 1997, pp.252-258

     

  5. Simon Fong, Samar Singh, On The Relative Importance of Traffic Correlations and Arrival Statistics for Shared-Buffer ATM Switches, Australian Computer Science Conference (ACSC 1997), Sydney, Australia, February 1997

 

 

1996  

 

  1. Simon Fong, Samar Singh, Modelling and Performance Analysis of Shared Buffer ATM Switches with Hot-spot Pushout under Bursty Traffic, Australian Telecommunication Networks and Applications Conference (ATNAC 1996), Melbourne, Australia, December 1996, Volume 2, pp.561-566 

     

  2. Simon Fong, Samar Singh, Analytical Modelling of Shared Buffer ATM Switches with Hot-spot Pushout under Bursty Traffic, IEEE Global Telecommunications Conference on Communications: The Key to Global Prosperity (IEEE GLOBECOM 1996), London, UK, 18-22 November 1996, Volume 2, pp:835-839

     

  3. Simon Fong, Samar Singh, Improving the Performance of Shared-Buffer Multistage ATM Switches under Bursty Traffic using Backpressure and Pushout, International Conference on Computer Communications and Networks (IC3N 1996), Rockville, USA, October 1996, pp.3021-307

     

  4. Simon Fong, Mohammed Atiquzzaman, Samar Singh, An Improved Buffer Sharing Scheme for ATM Switches under Bursty Traffic, Australian Computer Science Communications (ACSC 1996), Melbourne, Australia, February 1996, Volume 1, Issue 1, pp.26-34

 

 

 

 

© 2016 All rights reserved

  • dblp
  • Facebook Social Icon
  • LinkedIn Social Icon
  • rg
  • academia
  • Google-Scholar-Icon