RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification. [PDF]
Wang Y, Kou Z, Han C, Qin Y.
europepmc +1 more source
Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s. [PDF]
Gao L, Yu P, Dong H, Wang W.
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Coal-gangue sound recognition using hybrid multi-branch CNN based on attention mechanism fusion in noisy environments. [PDF]
Song Q +5 more
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Research on a Cooperative Grasping Method for Heterogeneous Objects in Unstructured Scenarios of Mine Conveyor Belts Based on an Improved MATD3. [PDF]
Gao R, Liu M, Du J, Bao Y, Wu X, Liu J.
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YOLOv8-POS: a lightweight model for coal-rock image recognition. [PDF]
Zhao Y, Wang W.
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<i>Bacillus halophilus</i> BH-8 Combined with Coal Gangue as a Composite Microbial Agent for the Rehabilitation of Saline-Alkali Land. [PDF]
Bi W, Sun Y, Yao Z, Zhao Z, Niu Y.
europepmc +1 more source
A study on carbon emission prediction of multi-energy complementary power system based on multiple linear regression model. [PDF]
Sha J, Kang W, Ma R, Zhu D, Liu J.
europepmc +1 more source
Design and application of coal gangue sorting system based on deep learning. [PDF]
Zhang K +9 more
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Scheme evaluation method of coal gangue sorting robot system with time-varying multi-scenario based on deep learning. [PDF]
Wu X +5 more
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Recognition of Coal Gangue via Stereo Vision and Density: A Feasibility Study
Jixia Lu +4 more
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