A Continuous Object Tracking Scheme Based on Two-Stage Prediction in Industrial Internet of Things
Author:
Affiliation:
1. School of Computer Science and Engineering, Northeastern University, Shenyang, China
2. Department of Internet of Things Engineering, Hohai University, Changzhou, China
3. Software College, Northeastern University, Shenyang, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10261331/10113855.pdf?arnumber=10113855
Reference42 articles.
1. Efficient Fire Detection for Uncertain Surveillance Environment
2. TGM-COT: energy-efficient continuous object tracking scheme with two-layer grid model in wireless sensor networks
3. Energy-Efficient Industrial Internet of Things: Overview and Open Issues
4. Toxic gas boundary area detection in large-scale petrochemical plants with industrial wireless sensor networks
5. Predictive Maintenance Model for IIoT-Based Manufacturing: A Transferable Deep Reinforcement Learning Approach
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