Results 121 to 130 of about 310 (146)

Experimental study on the compaction deformation evolution and energy dissipation characteristics of graded broken rock mass. [PDF]

Sci Rep
Peiyun X, Wuyi Y, Shugang L, Haiqing S, Xiaolong Z, Xiaoxu C.   +5 more
europepmc   +1 more source

A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM. [PDF]

Sci Rep
Hao W, Jiang H, Song Q, Song Q, Sun S.
europepmc   +1 more source

Study on dynamic and static load characteristics and rockburst induced mechanism under the influence of fault. [PDF]

Sci Rep
Yuan A, Kong P, Wang P, Liu C, Lu L.
europepmc   +1 more source

Image segmentation algorithm based on improved YOLOv8 model and its application in underground coal and gangue recognition. [PDF]

PLoS One
Zhu L, Gu W, Liu C, Zhang B, Liu W, Yuan C.   +5 more
europepmc   +1 more source

Research on active advance support technology of mining roadway under hard roof condition. [PDF]

Sci Rep
Li Y, Hu D, Zhao J, Kong P, Yang Z, Cai H.   +5 more
europepmc   +1 more source

Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11. [PDF]

Sensors (Basel)
Tao H, Zhang L, Sun Z, Cui X, Yi W.
europepmc   +1 more source

Application of Colloid Material in Prevention and Control of Coal Spontaneous Combustion in Coal Mine. [PDF]

ACS Omega
Fu W, Kang J, Liang W, Deng P.
europepmc   +1 more source

Optimization of the Process Parameters of Fully Mechanized Top-Coal Caving in Thick-Seam Coal Using BP Neural Networks

Sustainability, 2022
The method of fully mechanized top-coal caving mining has become the main method of mining thick-seam coal. The process parameters of fully mechanized caving will affect the recovery rate and gangue content of top coal.
Minfu Liang, Chengjun Hu, Liang Minfu
exaly   +2 more sources

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Hybrid connected attentional lightweight network for gangue intelligent segmentation in top-coal caving face

Journal of Intelligent & Fuzzy Systems, 2023
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.
Chengcai Fu, Fengli Lu, Fan Wu 0001, Guoying Zhang   +3 more
openaire   +1 more source

Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

Sustainability
China has made notable advancements in the intelligent construction of coal mines. However, for longwall top coal caving (LTCC) mining faces, a key obstacle impeding the intelligent transition of the coal-cutting process is automated control.
Defu Zhu, Yuming Huo, Zhu Defu
exaly   +2 more sources