Results 21 to 30 of about 495 (176)
Target Recognition of Coal and Gangue Based on Improved YOLOv5s and Spectral Technology
Sensors, 2023 Aiming at the problems of long detection time and low detection accuracy in the existing coal gangue recognition, this paper proposes a method to collect the multispectral images of coal gangue using spectral technology and match with the improved YOLOv5s (You Only Look Once Version-5s) neural network model to apply it to coal gangue target recognition
Pengcheng Yan +5 more
openaire +4 more sources
Research on Coal and Gangue Recognition Model Based on CAM-Hardswish with EfficientNetV2
Applied Sciences, 2023 In response to the multiscale shape of coal and gangue in actual production conditions, existing coal separation methods are inefficient in recognizing coal and gangue, causing environmental pollution and other problems.
Na Li +4 more
doaj +2 more sources
PCViT: A Pre-Convolutional ViT Coal Gangue Identification Method
Energies, 2022 For the study of coal and gangue identification using near-infrared reflection spectroscopy, samples of anthracite coal and gangue with similar appearances were collected, and different dust concentrations (200 ug/m3, 500 ug/m3 and 800 ug/m3), detection ...
Jianjian Yang +4 more
doaj +2 more sources
Coal and gangue recognition research based on improved YOLOv5
Gong-kuang zidonghua, 2022 The existing deep learning-based coal and gangue recognition methods are prone to false detection and missed detection when applied to underground complex environments. The recognition precision of small target coal and gangue is low. In order to solve this problem, an improved YOLOv5 model is proposed, and coal and gangue recognition is realized based
ZHANG Shiru +4 more
openaire +3 more sources
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
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
doaj +3 more sources
Extraction of Coal and Gangue Geometric Features with Multifractal Detrending Fluctuation Analysis
Applied Sciences, 2018 The separation of coal and gangue is an important process of the coal preparation technology. The conventional way of manual selection and separation of gangue from the raw coal can be replaced by computer vision technology.
Kai Liu, Xi Zhang, YangQuan Chen
doaj +2 more sources
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
doaj +2 more sources
On the academic ideology of “Sorting the gangue is sorting the images” [PDF]
Meitan kexue jishuCoal gangue sorting is the most basic, effective, and important technical measure to improve coal quality. Improving the accuracy and efficiency of coal gangue sorting is a serious challenge faced by coal gangue sorting.
Hongwei MA +7 more
doaj +2 more sources
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