Results 11 to 20 of about 381 (157)
Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11. [PDF]
Sensors (Basel)The current methods for detecting coal gangue face several challenges, including low detection accuracy, a high probability of missed detections, and inadequate real-time performance. These issues stem from the complexities associated with diverse industrial environments and mining conditions, such as the mixing of coal gangue and insufficient ...
Tao H, Zhang L, Sun Z, Cui X, Yi W.
europepmc +4 more sources
X-ray transmission intelligent coal-gangue recognition method
Gong-kuang zidonghua, 2022 The coal-gangue image recognition is an important part of coal-gangue separation technology based on pseudo dual energy X-ray transmission (XRT). However, it is difficult to segment the coal-gangue image due to the close proximity or occlusion of coal ...
WANG Wenxin +4 more
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Research on efficient matching method of coal gangue recognition image and sorting image. [PDF]
Sci RepAbstract The coal gangue sorting robot may encounter variations in the pose of the target coal gangue due to belt slippage, deviation, and speed fluctuations, leading to failed or missed grasping attempts during the sorting process of coal gangue.
Ye Z +5 more
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A Study of Multispectral Technology and Two-Dimension Autoencoder for Coal and Gangue Recognition
IEEE Access, 2020 Coal is one of the main sources of human energy. In the process of coal mining, separating gangue from coal has great significance for environmental protection and energy conservation.
Wenhao Lai +4 more
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Coal Gangue Recognition during Coal Preparation Using an Adaptive Boosting Algorithm
Minerals (Basel, Switzerland), 2023 The recognition of coal and gangue is the premise and foundation of coal gangue intelligent sorting. Adaptive boosting (AdaBoost) algorithm-based coal gangue identification has not been studied in depth. This paper proposed a coal gangue image recognition algorithm and a strong classifier based on the AdaBoost algorithm with a genetic algorithm (GA ...
Guanghui Xue, Gao Song, Sicong Han
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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 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 0054 +3 more
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Research on Coal Gangue Image Recognition Method Based on EMAM-YOLO. [PDF]
ACS OmegaJia Y, Li B, Du Y, Zheng W, Li Y, Wu S.
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