Latest Accepted

Latest accepted have been peer-reviewed and accepted, which are not yet assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).
Coal Flow Calculation Method Based on the Optimized LW-UNet3+ Algorithm
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A Microseismic Fractal Dimensions-Based Model and its Application for Coal Burst Hazards Assessment
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Method for Adjusting Required Airflow in Mine Roadways Based on MSCALA
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Theory and Practice of Controllable Agile Pressure-Stabilizing Liquid Supply System of Coal Face
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Research on autonomous navigation and automatic control technology of roadway cleaning robot
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Dynamic SLAM Method for Underground Coal Mines Integrating Zero-Shot Semantic Priors and Dual Geometric Constraints
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Evaluation and Application of the Risk of Strong Ground Pressure in the Working Face of Shallow Buried Close Distance Coal Seams through Coal pillar Mining
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Study on failure characteristics and support technology of special-shaped roadways in inclined coal seam under dynamic disturbance
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Gas control technology in long borehole 'perforation-fracturing 'composite permeability-increasing area of medium-hard coal seam
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High-Reliability Technologies for Mining SPN Industrial Ring Networks
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Flotation Froth Point Cloud Condition Recognition Based on Reinforcement Learning Adaptive and Joint Optimization
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A combined positioning method for the roadheader based on factor graph optimization fusing vision and inertial navigation
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Real-Time Detection of Traffic Lights and Collision Barrels in Underground Coal Mines Based on YOLOv11-CTDNet
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Study on stability prediction of waste dump slope based on BP neural network
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A review on coal-rock identification methods for longwall mining faces and prospective research on 3D interface identification with UWB radar
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Research on the Application of Fiber Optic Sensing Technology for Pipeline Monitoring in Intelligent Coal Mineing
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Shearer SINS/OD integrated navigation system based on robust closed path calibration
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Research on intelligent control of coal slurry flotation based on model-free deep reinforcement learning
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