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Sparse Mobile Crowdsensing for Gas Monitoring in Coal Mine Working Face
Jing Zhang, Lei Han,
Bin Guo
School of Computer Science
Xi'an University of Science and Technology
Xidian University
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Dive into the research topics of 'Sparse Mobile Crowdsensing for Gas Monitoring in Coal Mine Working Face'. Together they form a unique fingerprint.
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Computer Science
Weighting Coefficient
100%
Decision-Making
33%
Attention (Machine Learning)
33%
Good Performance
33%
Algorithm Selection
33%
Baseline Method
33%
Deep Reinforcement Learning
33%
Reinforcement Learning
33%
Self-Attention Mechanism
33%
Inference Model
33%
Monitoring Data
33%
Source Distribution
33%
Major Disaster
33%
Flow Characteristic
33%
Engineering
Diffusion Coefficient
100%
Coal Mine
100%
Reinforcement Learning
50%
Selection Algorithm
25%
Flow Characteristic
25%
Air Flow
25%
Good Performance
25%
Model Coefficient
25%
Sensing Data
25%
Monitoring Data
25%
Monitoring Sensor
25%
Source Gas
25%
Chemical Engineering
Reinforcement Learning
100%