Search Results - "DeepLab v3 model"

Study of bubble behavior in a gas–solid dense-phase fluidized bed based on deep learning by Fu, Yanhong, He, Xin, Wang, Song, Zhao, Yuemin, Dong, Liang, Chen, Zengqiang

“…[Display omitted] •An automatic bubble segmentation method based on deep learning is proposed.•Achieving a pixel accuracy of 97.95% and 80.91% MIoU for bubble…”
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Identification of maceral groups in Chinese bituminous coals based on semantic segmentation models by Wang, Yue, Bai, Xiangfei, Wu, Linlin, Zhang, Yuhong, Qu, Sijian

“…•It is the first time that semantic segmentation models based on deep learning are introduced to make a pixel-level identification of coal macerals.•The…”
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Study on the prediction of gangue content rate in fully mechanized caving face based on DeepLab v3 by WANG Zhifeng, WANG Jiachen, LI Lianghui, AN Bochao

“…To tackle the challenge of accurately determining the volumetric gangue content rate under actual stacking conditions of coal-gangue in fully mechanized caving…”
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