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A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：182/55  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Optimization RFID-enabled Retail Store Management with Complex Event Processing 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 52-64
作者:  Shang-Lian Peng;  Ci-Jian Liu;  Jia He;  Hong-Nian Yu;  Fan Li
浏览  |  Adobe PDF(1080Kb)  |  收藏  |  浏览/下载：165/46  |  提交时间：2021/02/22
Complex event processing (CEP)  radio frequency identification (RFID)  Internet of things  data stream  supply chain  retail store.  
Multi-layer Contribution Propagation Analysis for Fault Diagnosis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 40-51
作者:  Ruo-Mu Tan;  Yi Cao
浏览  |  Adobe PDF(1077Kb)  |  收藏  |  浏览/下载：108/39  |  提交时间：2021/02/22
Process monitoring  fault detection and diagnosis  contribution plots  feature extraction  multivariate statistics.  
Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39
作者:  Yu Hao;  Zhi-Jie Xu;  Ying Liu;  Jing Wang;  Jiu-Lun Fan
浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：211/55  |  提交时间：2021/02/22
Crowd behavior  spatial-temporal texture  gray level co-occurrence matrix  information entropy.