Results 11 to 20 of about 361 (167)
A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition [PDF]
Scientific ReportsCoal gangue recognition presents significant challenges in the mining industry due to its inefficient and costly traditional treatment methods. The advent of deep learning techniques has introduced novel solutions for automating and online coal gangue ...
Tongkai Gu +5 more
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An improved tiny YOLO v3 rapid recognition model for coal-gangue
Gong-kuang zidonghua, 2023 The traditional coal gangue sorting methods have low efficiency, significant safety hazards, and limited application scope. The existing machine vision-based coal gangue image recognition methods are difficult to balance model recognition speed and ...
ZHENG Daoneng
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Research on Coal and Gangue Recognition Based on the Improved YOLOv7-Tiny Target Detection Algorithm [PDF]
SensorsThe recognition technology of coal and gangue is one of the key technologies of intelligent mine construction. Aiming at the problems of the low accuracy of coal and gangue recognition models and the difficult recognition of small-target coal and gangue ...
Yiping Sui +4 more
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Research on coal gangue recognition algorithm based on HGTC-YOLOv8n model
Gong-kuang zidonghuaThe existing deep learning based coal gangue recognition methods have problems in complex working conditions such as low lighting, high noise, and motion blur in coal mines, such as low precision of coal gangue recognition, easy omission of small target ...
TENG Wenxiang, WANG Cheng, FEI Shuhui
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Research on coal gangue recognition method based on infrared thermal imaging
Gong-kuang zidonghuaCoal and gangue sorting methods based on heavy-medium coal selection technology, jigging technology, flotation technology, dry coal selection technology and γ-ray detection method have high investment costs, low sorting efficiency and serious ...
CHENG Gang +3 more
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Recognition Methods for Coal and Coal Gangue Based on Deep Learning [PDF]
IEEE Access, 2021 Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden to enterprises and results in low efficiency. As an important branch of artificial intelligence, deep learning has been widely applied in many fields ...
Qiang Liu +3 more
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Study on recognition of coal and gangue based on multimode feature and image fusion
PLoS ONE, 2023 Aiming at the problems of low accuracy of coal gangue recognition and difficult recognition of mixed gangue rate, a coal rock recognition method based on modal fusion of RGB and infrared is proposed. A fully mechanized coal gangue transportation test bed
Lijuan Zhao +6 more
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IEEE Access, 2023 Coal gangue recognition of top coal caving is one of the important links in the process of intelligent coal mine construction. However, the recognition accuracy of this technology in practical application is still challenging, because the recognition ...
He Li +3 more
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Research progress and key technologies of intelligent coal-gangue sorting robot
Gong-kuang zidonghua, 2022 The gangue is wrapped by slurry in underground coal mine, which causes difficult coal-gangue recognition and sorting. The underground working space is narrow, so the equipment layout is difficult, and the diversion of coal-gangue is difficult. Therefore,
ZHANG Ye +5 more
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YOLOv4-Tiny-Based Coal Gangue Image Recognition and FPGA Implementation
Micromachines, 2022 Nowadays, most of the deep learning coal gangue identification methods need to be performed on high-performance CPU or GPU hardware devices, which are inconvenient to use in complex underground coal mine environments due to their high power consumption, huge size, and significant heat generation.
Shanyong Xu +3 more
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