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Machine Learning for Massive Industrial Internet of Things
Hui Zhou
, Changyang She
,
Yansha Deng
*
,
Mischa Dohler
,
Arumugam Nallanathan
*
Corresponding author for this work
Engineering
London Centre for Nanotechnology
Centre for Telecommunications Research
Informatics
Security Hub
King's College London
University of Sydney
Queen Mary University of London
Research output
:
Contribution to journal
›
Article
›
peer-review
49
Citations (Scopus)
Overview
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Computer Science
Industrial Internet of Things
100%
Machine Learning
100%
Learning System
100%
Quality of Service
25%
Wireless Network
25%
Service Requirement
25%
Use Case
12%
Research Direction
12%
Industrial Setting
12%
Internet of Things Device
12%
Deep Neural Network
12%
Deep Reinforcement Learning
12%
Individual Layer
12%
Learning Technique
12%
Case Study
12%
Internet-Of-Things
12%
Engineering
Industrial Internet
100%
Learning System
100%
Internet-Of-Things
100%
Service Requirement
25%
Quality of Service
25%
Reinforcement Learning Technique
12%
Limitations
12%
Deep Neural Network
12%
Internet of Things Device
12%
Individual Layer
12%
Chemical Engineering
Learning System
100%
Reinforcement Learning
16%
Deep Neural Network
16%
Immunology and Microbiology
Solution and Solubility
100%