UM

Browse/Search Results:  1-5 of 5 Help

Selected(0)Clear Items/Page:    Sort:
Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors Journal article
Tengyue Li, Simon Fong, Xuqi Li, Zhihui Lu, Amir H. Gandomi. Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors[J]. IEEE Internet of Things Journal, 2020, 7(3), 2321-2342.
Authors:  Tengyue Li;  Simon Fong;  Xuqi Li;  Zhihui Lu;  Amir H. Gandomi
Favorite | TC[WOS]:13 TC[Scopus]:18  IF:8.2/9.0 | Submit date:2021/03/09
Data Analytics  Data Stream Mining  Fog Computing  Internet Of Things (Iot)  Swarm Decision Table (Sdt)  Smart Home  
Forecasting energy consumption from smart home sensor network by deep learning Conference paper
Nilanjan Dey, Simon Fong, Wei Song, Kyungeun Cho. Forecasting energy consumption from smart home sensor network by deep learning[C], 2018, 255-265.
Authors:  Nilanjan Dey;  Simon Fong;  Wei Song;  Kyungeun Cho
Favorite | TC[Scopus]:37 | Submit date:2019/02/13
Iot Smart Home  Energy Prediction  Time-series Forecasting  Deep Learning  
Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall Journal article
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[J]. Journal of Ambient Intelligence and Humanized Computing, 2018, 9(4), 1197-1221.
Authors:  Simon Fong;  Jiaxue Li;  Wei Song;  Yifei Tian;  Raymond K. Wong; et al.
Favorite | TC[WOS]:24 TC[Scopus]:49  IF:3.662/3.718 | Submit date:2018/10/30
Iot Smart Home  Energy Prediction  Data Stream Mining  Classification  
Simulation framework of ubiquitous network environments for designing diverse network robots Journal article
Seoungjae Cho, Simon Fong, Yong Woon Park, Kyungeun Cho. Simulation framework of ubiquitous network environments for designing diverse network robots[J]. Future Generation Computer Systems, 2016, 76, 468-473.
Authors:  Seoungjae Cho;  Simon Fong;  Yong Woon Park;  Kyungeun Cho
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:6.2/5.9 | Submit date:2018/10/30
Human-robot Interaction  Network Robot  Planning  Reinforcement Learning  Simulation  Smart Home  
A new practice-driven approach to develop software in a cyber-physical system environment Journal article
Jiang Y., Chen C.L.P., Duan J.. A new practice-driven approach to develop software in a cyber-physical system environment[J]. Enterprise Information Systems, 2016, 10(2), 211-227.
Authors:  Jiang Y.;  Chen C.L.P.;  Duan J.
Favorite | TC[WOS]:11 TC[Scopus]:11 | Submit date:2019/02/11
Cyber-physical System  Enterprise Application Integration  Enterprise Information System  Smart Home  Software Engineering