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A Graph Mining Approach for Ranking and Discovering the Interesting Frequent Subgraph Patterns Journal article
International Journal of Computational Intelligence Systems, 2021,Volume: 14,Issue: 1
Authors:  Ur Rehman, Saif;  Liu, Kexing;  Ali, Tariq;  Nawaz, Asif;  Fong, Simon James
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/12/08
Frequent Subgraph Patterns  Graph Data  Graph Mining  Ranking  Social Network  Transactional Graphs  
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak Journal article
Applied Intelligence, 2021,Volume: 51,Issue: 7,Page: 4162-4198
Authors:  Xian-Xian Liu;  Simon James Fong;  Nilanjan Dey;  Rubén González Crespo;  Enrique Herrera-Viedma
Favorite |  | TC[WOS]:14 TC[Scopus]:12 | Submit date:2021/03/09
Novel Coronavirus  Covid-19  Asymptomatic Cases  Disease Transmission  Seir  Seaird  Severity  Risk Assessment  Enhanced Surveillance  Interventions  
Modelling dynamics of coronavirus disease 2019 spread for pandemic forecasting based on Simulink Journal article
Physical Biology, 2021,Volume: 18,Issue: 4
Authors:  Liu, Xian Xian;  Hu, Shimin;  Fong, Simon James;  Crespo, Rubén González;  Herrera-Viedma, Enrique
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Clustering algorithm based on nature-inspired approach for energy optimization in heterogeneous wireless sensor network Journal article
Applied Soft Computing, 2021,Volume: 104
Authors:  Israel Edem Agbehadji;  Richard C. Millham;  Abdultaofeek Abayomi;  Jason J. Jung;  Simon James Fong;  Samuel Ofori Frimpong
Favorite |  | TC[WOS]:5 TC[Scopus]:7 | Submit date:2021/03/09
Energy Optimization  Heterogeneous Wireless Sensor Network  Kestrel-based Search Algorithm (Ksa)  Wolf Search Algorithm With Minus Step Previous (Wsamp)  Distributed Energy Efficient Clustering  
Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions Journal article
IEEE Journal on Selected Areas in Communications, 2021,Volume: 39,Issue: 2,Page: 300-310
Authors:  Nada Y. Philip;  Joel J. P. C. Rodrigues;  Honggang Wang;  Simon James Fong;  Jia Chen
Favorite |  | TC[WOS]:27 TC[Scopus]:36 | Submit date:2021/03/09
Internet Of Things  Iot  Ambient Assisted Living  Ehealth  In-home  Mhealth  Remote Monitoring  Middleware  Tutorial  
Guest Editorial: Internet of Things for In-Home Health Monitoring Journal article
IEEE Journal on Selected Areas in Communications, 2021,Volume: 39,Issue: 2,Page: 295-299
Authors:  Joel J. P. C. Rodrigues;  Honggang Wang;  Simon James Fong;  Nada Y. Philip;  Jia Chen
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Determining the Impact of Perspex Obstacles on Bluetooth Transmission Paths Within a Simulated Office Environment for More Accurate Location Determination Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Cagliari, ITALY, SEP 13-16, 2021
Authors:  Pancham, Jay;  Millham, Richard C.;  Fong, Simon James
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Ble  Bluetooth Low Energy  Obstacle  Obstruction  Perspex  Real-time Location System  Rssi  
Explainable AI to Analyze Outcomes of Spike Neural Network in Covid-19 Chest X-rays Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, ELECTR NETWORK, OCT 17-20, 2021
Authors:  Kamal, Md Sarwar;  Chowdhury, Linkon;  Dey, Nilanjan;  Fong, Simon James;  Santosh, Kc
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Chest X-rays  Covid-19  ExplAinable Ai  Lime  Spike Neural Network  Supervised Synaptic Learning  Svm  
Mobile Blockchain-Empowered Federated Learning: Current Situation and Further Prospect Conference paper
2021 3rd International Conference on Blockchain Computing and Applications, BCCA 2021, ELECTR NETWORK, NOV 15-16, 2021
Authors:  Wibowo, Damian Satya;  Fong, Simon James
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Blockchain  Federated Learning  Machine Learning  Mobile Systems  
COVID-19: Psychological and Psychosocial Impact, Fear, and Passion Journal article
Digital Government: Research and Practice, 2021,Volume: 2,Issue: 1
Authors:  Dey, Nilanjan;  Mishra, Rishabh;  Fong, Simon James;  Santosh, K. C.;  Tan, Stanna;  Crespo, Rubén González
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COVID-19  data analytics  lockdown  psychological impact  tweets