Research on Recognition of Coal and Gangue Based on Laser Speckle Images [PDF]
Sensors, 2023 Coal gangue image recognition is a critical technology for achieving automatic separation in coal processing, characterized by its rapid, environmentally friendly, and energy-saving nature.
Hequn Li +5 more
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Coal/Gangue Recognition Using Convolutional Neural Networks and Thermal Images [PDF]
IEEE Access, 2020 Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed the topic of Coal/Gangue recognition and built a new model called (CGR-CNN) based on Convolutional Neural network (CNN) and using
Murad Saleh Alfarzaeai +4 more
doaj +4 more sources
A Study of Multispectral Technology and Two-Dimension Autoencoder for Coal and Gangue Recognition [PDF]
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
doaj +4 more sources
Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 [PDF]
IET Image Processing, 2022 The intelligentisation of coal mines is the only approach to the high‐quality development of the coal industry. Detection, identification and sorting of coal gangue is an important part of the intelligentisation of coal mines.
De‐yong Li +3 more
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Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning [PDF]
Energies, 2019 Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and help segregate coal and gangue.
Yuanyuan Pu +3 more
doaj +4 more sources
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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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
doaj +4 more sources
Coal gangue recognition based on spectral imaging combined with XGBoost.
PLoS ONE, 2023 The identification of coal gangue is of great significance for its intelligent separation. To overcome the interference of visible light, we propose coal gangue recognition based on multispectral imaging and Extreme Gradient Boosting (XGBoost).
Minghao Zhou, Wenhao Lai
doaj +4 more sources
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
doaj +2 more sources