Study on the Energy Evolution Mechanism and Fractal Characteristics of Coal Failure under Dynamic Loading. [PDF]
Lin H +5 more
europepmc +1 more source
Experimental study on the compaction deformation evolution and energy dissipation characteristics of graded broken rock mass. [PDF]
Peiyun X +5 more
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A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM. [PDF]
Hao W, Jiang H, Song Q, Song Q, Sun S.
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Study on dynamic and static load characteristics and rockburst induced mechanism under the influence of fault. [PDF]
Yuan A, Kong P, Wang P, Liu C, Lu L.
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Image segmentation algorithm based on improved YOLOv8 model and its application in underground coal and gangue recognition. [PDF]
Zhu L +5 more
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Research on active advance support technology of mining roadway under hard roof condition. [PDF]
Li Y +5 more
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Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11. [PDF]
Tao H, Zhang L, Sun Z, Cui X, Yi W.
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Application of Colloid Material in Prevention and Control of Coal Spontaneous Combustion in Coal Mine. [PDF]
Fu W, Kang J, Liang W, Deng P.
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The estimation of gangue content is the main basis for intelligent top coal caving mining by computer vision, and the automatic segmentation of gangue is crucial to computer vision analysis. However, it is still a great challenge due to the degradation of images and the limitation of computing resources.
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