Results 71 to 80 of about 9,993 (95)

Coal-Gangue Recognition Technology Based on Bimodal Data Fusion

2025 3rd International Conference on Signal Processing and Intelligent Computing (SPIC)
Accurate online recognition of coal and gangue during top-coal caving is a key technology for improving coal quality, enhancing recovery efficiency, and realizing intelligent mining. This paper proposes a deep learning-based recognition method founded on
Yaohui Wang, Xiaolin Han, Xiaohu Sun, Yihang Hua, Bo Pan, Haoran Zhang, Zheng Wang, Hua Li, Lingbo Li, Qin Yang   +9 more
semanticscholar   +1 more source

Research on coal gangue recognition method based on SFD-YOLOv5s

International Journal of Coal Preparation and Utilization
Aiming at the current coal gangue recognition model’s difficulty in recognizing aggregated coal gangue targets, which leads to the problems of misdetections, omissions, and inaccurate localization, we propose a coal gangue recognition method based on the
Zhimin Liu, Shiyu Miao, Yincheng Liang, Jiahao Li, Pengzhou Meng, Yang Sun   +5 more
semanticscholar   +1 more source

Underground coal gangue recognition based on composite fusion of feature and decision

Measurement science and technology
The underground coal gangue separation and in-situ filling can reduce environmental pollution, promote the recycling of resources, and ensure the safe operation of mining.
Xiaoyu Li, Rui Xia, Rui Kang, Bo Li, Xuewen Wang, Tao Liu, Jihong Gao, Rui Li, Wenjun Xu, Weixiu Cui   +9 more
semanticscholar   +1 more source

The application and challenges of spectral and image two-modal fusion techniques in coal gangue recognition

International Journal of Coal Preparation and Utilization
During coal mining, it is difficult to avoid gangue generation, and the gangue separation techniques based on spectra and images have problems such as one-sided feature description and weak robustness, which can not meet the practical demands and deal ...
Xiaoyu Li, Rui Xia, Juanli Li, Xuewen Wang, Bo Li   +4 more
semanticscholar   +1 more source

Research on efficient matching method of coal gangue recognition image and sorting image

Scientific Reports
When the coal gangue sorting robot sorts coal gangue, the position of the target coal gangue will change due to belt slippage, deviation, and speed fluctuations of the belt conveyor. This will cause the robotic to fail in grasping or miss grasping.
Zhang Ye, Hongwei Ma, Wang Peng, Wenjian Zhou, Xiangang Cao, Mingzhen Zhang   +5 more
semanticscholar   +1 more source

Improved Coal Gangue Recognition Detection Algorithm Based on YOLOv5s

2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
To solve the problems of poor recognition and low speed of the coal gangue sorting task in the coal mining industry, a coal gangue recognition and detection algorithm based on improved YOLOv5s is proposed.
Tianhang Duan, Cunfu Yan, Xuetao Qiao, Yiming Wang, Zhu Guo, Zenxiao Zhao   +5 more
semanticscholar   +1 more source

A novel coal-gangue recognition method based on key electromagnetic time-frequency information

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
As the demand for efficient and automated coal mining continues to rise, accurately identifying the mixing ratio of coal and gangue becomes a crucial step in enhancing the intelligence of the top-coal mining process.
Jiahao Li, Lei Si, J. Dai, Zhongbing Wang, D. Wei, Xin Li, Jinheng Gu   +6 more
semanticscholar   +1 more source

Image segmentation algorithm based on improved YOLOv8 model and its application in underground coal and gangue recognition

PLoS ONE
Coal and gangue recognition technology is one of the key technologies in the intelligent construction of coal mines. With the deepening of the research, only the coal and gangue recognition, the pixel segmentation of the coal gangue image is needed ...
Lei Zhu, Wenzhe Gu, Chengyong Liu, Beiyan Zhang, Wentao Liu, Chaofeng Yuan   +5 more
semanticscholar   +1 more source

CUs-YOLO: enhanced feature fusion model for coal and gangue recognition in complex environment of coal mine

Measurement science and technology
This study proposes a novel model, CUs-YOLO, to address the challenges of detecting coal and gangue under complex conditions, including light spots from illumination, image blurring due to noise, and colour distortion.
Ziyi Liu, Yiying Wang, Lifen Ma, Yanhui Wu, Guoyou He, X. Liang, Fei Wang   +6 more
semanticscholar   +1 more source

Coal and Gangue Recognition in Fully Mechanized Coal Mining Face using Extreme Boosting Algorithm- Ant Colony Optimization

2024 First International Conference on Software, Systems and Information Technology (SSITCON)
In recent years, coal became an important source for generating electricity, Industrial processes, steel production etc., as it available extensively and cost-effective than other fossil fuels.
Jixing Li, Xiaoxiang Zhang, Limin Zhao
semanticscholar   +1 more source