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A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018,Volume: 113,Page: 222-236
Authors:  Cao, Jiuwen;  Wang, Tianlei;  Shang, Luming;  Wang, Jianzhong;  Vong, Chi-Man;  Yin, Chun;  Huang, Xuegang
Favorite  |  View/Download:39/0  |  Submit date:2018/10/30
Periodic Vibration Signal Processing  Distance Prediction System  Fundamental Frequency Estimation  Frequency Band Energy Percentage  Cepstrum  
Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall Journal article
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2018,Volume: 9,Issue: 4,Page: 1197-1221
Authors:  Fong, Simon;  Li, Jiaxue;  Song, Wei;  Tian, Yifei;  Wong, Raymond K.;  Dey, Nilanjan
Favorite  |  View/Download:32/0  |  Submit date:2018/10/30
IoT smart home  Energy prediction  Data stream mining  Classification  
Forecasting energy consumption from smart home sensor network by deep learning Conference paper
Communications in Computer and Information Science
Authors:  Dey N.;  Fong S.;  Song W.;  Cho K.
Favorite  |  View/Download:8/0  |  Submit date:2019/02/13
Deep learning  Energy prediction  IoT smart home  Time-series forecasting