Coal gangue recognition based on spectral imaging combined with XGBoost. [PDF]
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
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Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment [PDF]
Scientific Reports, 2023 Traditional coal-gangue recognition methods usually do not consider the impact of equipment noise, which severely limits its adaptability and recognition accuracy.
HaiYan Jiang +6 more
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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
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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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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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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
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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.
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Research on Coal Gangue Recognition Based on Multi-source Time-Frequency Domain Feature Fusion. [PDF]
ACS Omega, 2023 The over-exploitation of resources caused by the increasing coal demand has resulted in a sharp increase in solid waste emissions mainly gangue, which has made the burden on the environment, economy, resources, and society of our country heavier. In order to achieve a balance between energy consumption and solid waste emission in the process of top ...
Zhang Y, Yang Y, Zeng Q.
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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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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
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