Characterization of acoustic emission parameters and identification of staged fracture propagation in solidified body-coal combination based on experimental and machine learning approaches. [PDF]
Sci RepTan Y +10 more
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Dossiers II.: Lead and zinc, Volume I. Raw Materials Research and Development, April 1979 [PDF]
, 1979 Bartholomé, P. +4 more
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Dielectric identification method and system design of coal gangue based on frequency shift characteristics. [PDF]
Sci RepWang X, Wu M, Zhao P.
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Research on the Strong Generalization of Coal Gangue Recognition Technology Based on the Image and Convolutional Neural Network under Complex Conditions. [PDF]
ACS Omega, 2023 Xun Q, Yang Y, Liu Y.
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Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11. [PDF]
Sensors (Basel)Tao H, Zhang L, Sun Z, Cui X, Yi W.
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Dynamic simulation and intelligent control technology for cutting head load of coal mine roadheader. [PDF]
PLoS OneFeng J, Zhang Y, He Y, Tian M.
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Coal Gangue Ecological Matrix Coupled with Microalgae for Soil Improvement and Plant Growth in Reclaimed Mining Areas. [PDF]
Biology (Basel)Yu S +6 more
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A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition. [PDF]
Sci RepSong Q +5 more
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A large-scale open image dataset for deep learning-enabled intelligent sorting and analyzing of raw coal. [PDF]
Sci DataLv Z +9 more
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A lightweight coal-gangue detection model based on parallel deep residual networks. [PDF]
PeerJ Comput SciJiang S, Zhou X.
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