Results 11 to 20 of about 377 (163)
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, Sicong Han
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A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM [PDF]
Scientific ReportsAccurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional
Wenchao Hao +4 more
doaj +2 more sources
IEEE Access, 2019 In order to realize the recognition of coal gangue in the top coal caving process, a scheme of the coal gangue recognition based on the collision vibration signal between coal gangue and the metal plate is proposed in this paper, a systematic and ...
Yang Yang +3 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
europepmc +4 more sources
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
doaj +2 more sources
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Scientific Reports, 2022 Using image recognition technology to realize coal gangue recognition is one of the development directions of intelligent fully mechanized caving mining.
Lei Zhang +4 more
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Experimental platform for coal gangue sorting robot based on image detection
Gong-kuang zidonghua, 2023 Currently, coal gangue pre-sorting is still mostly done manually, with high labor intensity, low sorting efficiency, and safety hazards. Using coal gangue sorting robots to replace manual coal gangue pre-sorting is an effective way to ensure the health ...
LI Sanxi +4 more
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