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YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8. [PDF]

PeerJ Comput Sci
Wang W, Zhao Y, Xue Z.
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Enhancing Object Detection in Underground Mines: UCM-Net and Self-Supervised Pre-Training. [PDF]

Sensors (Basel)
Zhou F, Zou J, Xue R, Yu M, Wang X, Xue W, Yao S.   +6 more
europepmc   +1 more source

Intelligent Recognition of Muffled Blasting Sounds and Lithology Prediction in Coal Mines Based on RDGNet. [PDF]

Sensors (Basel)
Li G, Ding H, Wang K, Zhang X, Sun J.
europepmc   +1 more source

Research on improved gangue target detection algorithm based on Yolov8s. [PDF]

PLoS One
Fu Z, Yuan X, Xie Z, Li R, Huang L.
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MCF-Net: Personnel and machinery detection model for complex downhole drilling environments. [PDF]

PLoS One
Jin Z, Li H.
europepmc   +1 more source

Top coal drawing law for an extra thick coal seam under the single round group drawing method. [PDF]

Sci Rep
Pan W, Zhao Z, Li X, Xu Y, Zhang K.
europepmc   +1 more source

Measurement of sulfur content in coal mining areas by using field-remote sensing data and an integrated deep learning model. [PDF]

PeerJ Comput Sci
Liu J, Le BT.
europepmc   +1 more source

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Impact-slip experiments and systematic study of coal gangue “category” recognition technology Part I: Impact-slip experiments between coal gangue mixture and top coal caving hydraulic support and the study of coal gangue “category” recognition technology

Powder Technology, 2021
Abstract Advancing of the intelligent fully mechanized caving mining technology (IFMCMT) is the fundamental method to improve the output of coal resources. Accurate identification of coal gangue is the necessary condition for the realization of IFMCMT.
Yang Yang
exaly   +2 more sources

Multipoint Acceleration Information Acquisition of the Impact Experiments Between Coal Gangue and the Metal Plate and Coal Gangue Recognition Based on SVM and Serial Splicing Data

Arabian Journal for Science and Engineering, 2021
Impact contact behaviors with different velocities, direction and contact states occurred in the process of coal drawing between coal gangue particles and the hydraulic support greatly increase the difficulty of coal gangue recognition in top coal caving.
Yang Yang, Qingliang Zeng, Zeng Qingliang   +2 more
exaly   +2 more sources