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Machine learning for open-pit mining: a systematic review
Shi Qiang Liu
, Lizhu Liu
, Erhan Kozan
, Paul Corry
, Mahmoud Masoud
,
Sai Ho Chung
, Xiangong Li
Department of Industrial and Systems Engineering
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
16
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Citations (Scopus)
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Keyphrases
Machine Learning
100%
Open pit Mining
100%
Machine Learning Applications
50%
Mining Equipment
50%
Environmental Protection
25%
Computer Technology
25%
Rapid Development
25%
Machining Simulation
25%
Unexpected Events
25%
Design Planning
25%
Machine Learning Techniques
25%
Real-world Implementation
25%
Mining Industry
25%
Haulage
25%
Block Sequence
25%
Gas Emission
25%
Reinforcement Learning
25%
Study Review
25%
Descriptive Statistical Analysis
25%
Systematic Literature Review
25%
Hazardous Gases
25%
Big Data Science
25%
Land Pollution
25%
Exploration-exploitation
25%
Learning Reinforcement
25%
Evaluation Design
25%
Control Protection
25%
Mine Design
25%
Feasibility Evaluation
25%
Equipment Scheduling
25%
Deep Reinforcement Learning (deep RL)
25%
Last Five Years
25%
Emissions Pollution
25%
Technology Data
25%
Equipment Breakdown
25%
Large-scale Extraction
25%
Waste Control
25%
Drilling Processing
25%
Slope Collapse
25%
Bi-level Classification
25%
Engineering
Open Pit Mining
100%
Learning System
100%
Mining Equipment
50%
Reinforcement Learning
50%
Computer Technology
25%
Emission Gas
25%
Environmental Protection
25%
Machine Learning Technique
25%
Mine Block
25%
Big Data
25%
Material Science
Surface (Surface Science)
100%
Gas Emission
100%
Chemical Engineering
Learning System
100%
Reinforcement Learning
40%