Results 81 to 90 of about 2,650 (179)
An Image Preprocessing Model of Coal and Gangue in High Dust and Low Light Conditions Based on the Joint Enhancement Algorithm. [PDF]
Li N, Gong X.
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Coal-gangue image classification method
For problems that traditional coal-gangue separation methods such as manual separation method, mechanical wet-separation method, γ-ray separation method and so on could not give consideration to high efficiency, safety and easy operation, a coal-gangue image classification method based on machine vision was proposed.
RAO Zhongyu, WU Jingtao, LI Ming
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To address the environmental hazards caused by coal gangue waste, coal gangue concrete (CGC) has been proposed as a solution. However, due to its porosity and low strength, CGC faces numerous challenges in practical applications.
Qingwen Li +7 more
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A coal-gangue optimization identification method
Aiming at problem that target detection of coal-gangue image is not accurate due to wear of conveyor belt, which affects identification accuracy of coal-gangue, a coal-gangue optimization identification method is proposed. After pre-processing of collected images such as cutting, denoising and grayscale, the trained cornernet-squeeze deep learning ...
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BackgroundThe coal gangue, a solid waste, features high production and a continuous increase in the amount piled in China. The long-term piling up of coal gangue will cause the waste of land resources and environmental pollution in mining areas.
Quanlin SHI +4 more
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Mineral occurrence and acid leaching characteristic of aluminum for coal gangue in Shanxi Province
Shanxi Province, a major coal-producing region in China, generates a substantial amount of industrial waste (such as coal gangue) during coal mining and washing processes.
Longyi ZHAO +6 more
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Comprehensive treatment status and zero carbon treatment exploration of coal gangue hill in China
In the process of mining coal resources, a large amount of coal gangue, fly ash and other by-products are produced, which cause a series of secondary disasters and environmental problems. In order to solve a series of disasters caused by the accumulation
Yousheng DENG +4 more
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Coal and Gangue Detection Networks with Compact and High-Performance Design. [PDF]
Cao X, Liu H, Liu Y, Li J, Xu K.
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Image segmentation algorithm based on improved YOLOv8 model and its application in underground coal and gangue recognition. [PDF]
Zhu L +5 more
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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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