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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:251/67  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Energy Guarantee Scheme for Real-time Systems with Energy Harvesting Constraints 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 354-368
作者:  Hussein El Ghor;  Maryline Chetto
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Real-time systems  energy harvesting  embedded systems  power management  dynamic voltage and frequency selection (DVFS)  ED-H scheduler.