Application of Artificial Intelligence in Predicting Coal Mine Disaster Risks: A Review. [PDF]
Lu P, Liu Y, Liang Y, Cui D.
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Science competition-driven teaching optimization for mining engineering. [PDF]
Li X +6 more
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ACI-GNN: Lightweight All-Channel Interaction Graph Neural Network for Multi-Sensor Coal-Rock Cutting Recognition. [PDF]
Jin Z +7 more
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Mine Gas Time-Series Data Prediction and Fluctuation Monitoring Method Based on Decomposition-Enhanced Cross-Graph Forecasting and Anomaly Finding. [PDF]
Yuan L.
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Recent Advancements in Digital Management and Monitoring of Mine Waste: Sensors, Characterization, and Predictive Modeling-A Review. [PDF]
Li T, Desta F, Buxton M.
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Vegetation extraction through UAV RGB imagery and efficient feature selection. [PDF]
Dong J +5 more
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High-precision monitoring and prediction of mining area surface subsidence using SBAS-InSAR and CNN-BiGRU-attention model. [PDF]
Zhu M +7 more
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Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm. [PDF]
Chen J, Fan M.
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