Results 171 to 180 of about 4,764 (197)

An identification and positioning method for coal gangue based on lightweight mixed domain attention

International Journal of Coal Preparation and Utilization, 2023
Guofa Wang, Yong Zhang
exaly  

Research on the fine identification of coal types and gangue based on X-ray diffraction principle

International Journal of Coal Preparation and Utilization, 2023
Gang Cheng, Wenshan Wang, Lei He
exaly  

Detection of coal and gangue based on improved YOLOv5.1 which embedded scSE module

Measurement: Journal of the International Measurement Confederation, 2022
Pengcheng Yan
exaly  

Lightweight detection model for coal gangue identification based on improved YOLOv5s

Journal of Real-Time Image Processing
Deyong Shang, Zhibin Lv, Zehua Gao, Yuntao Li   +3 more
openaire   +1 more source

Research of coal and gangue identification and positioning method at mobile device

International Journal of Coal Preparation and Utilization, 2023
Yong Zhang, Shuang Wang, Gang Cheng
exaly  

Identification of Coal, Gangue, and Surrounding Rock Based on LIBS and Deep Learning

IEEE Transactions on Instrumentation and Measurement
Zelin Yan, Dong Xiao
openaire   +1 more source

Lightweight coal gangue identification algorithm based on YOLOv11n-DPN

2025 5th International Conference on Computer, Internet of Things and Control Engineering (CITCE)
Shiqi Zhang, Huizhi Ren
openaire   +1 more source

[Identification of Priority Sources for Heavy Metals in Soils of Typical Coal Gangue Accumulation Areas Based on Source-specific Health Risk Assessment].

Huan jing ke xue= Huanjing kexue
Heavy metals contained in coal gangue can be released into the surrounding environment through various pathways during long-term accumulation, posing potential threats to human health. To effectively control and mitigate the health risks of heavy metals in the soil of coal gangue accumulation areas, this study focused on the Panyi coal gangue ...
Ji-Yang, Zhao, Xing, Chen, Liu-Gen, Zheng, Yong-Chun, Chen, Peng-Fei, Tao   +4 more
openaire   +1 more source

Experimental analysis of coal gangue identification using visible-near infrared spectroscopy under different working conditions with local and global model

International Journal of Coal Preparation and Utilization, 2023
Tao Liu, Juanli Li, Rui Xia, Xuewen Wang, Bo Li   +4 more
openaire   +1 more source

Intelligent coal gangue identification: A novel amplitude frequency sensitive neural network

Expert Systems with Applications
Zipeng Zhang, Zhencai Zhu, Bin Meng 0004, Zheng Yang, Mingke Wu, Xinyu Cheng, Binhong Li, Houguang Liu   +7 more
openaire   +1 more source