Results 91 to 100 of about 495 (176)

Research of coal and gangue interface recognition based on Mel frequency cepstrum coefficient and genetic algorithm

Gong-kuang zidonghua, 2013
In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang, WANG Ping-jian, WEI Guang-fen, ZHANG Shou-xiang   +3 more
doaj  

DEL_YOLO: A Lightweight Coal-Gangue Detection Model for Limited Equipment

The gangue mixed in raw coal has small feature differences from coal, in order to solve the existing gangue recognition, methods generally have slow detection speed and are difficult to deploy at the edge end of the problem, a lightweight gangue target ...
Mengxu Guo, Qiuyue Zhang, Sen Fan, Shuguang Miao, Xiang Liu   +4 more
core   +1 more source

Multiclass Classification of Coal Gangue Under Different Light Sources and Illumination Intensities

As a solid mixture discharged during coal production, coal gangue possesses comprehensive utilization potential. Efficient sorting and pre-enrichment of its classification are crucial for green mining practices.
Weinong Liang, Jiandong Fang, Guanghui Wang, Haijun Zhang, Xiaolu Sun, Chunxia Zhou, Yeshuo Xi   +6 more
core   +1 more source

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

PLoS One
Zhu L, Gu W, Liu C, Zhang B, Liu W, Yuan C.   +5 more
europepmc   +1 more source

Optimization Study of Coal Gangue Detection in Intelligent Coal Selection Systems Based on the Improved Yolov8n Model

To address the low recognition accuracy of models for coal gangue images in intelligent coal preparation systems—especially in identifying small target coal gangue due to factors such as camera angle changes, low illumination, and motion blur—
Yurong Yue, Wei Shan, Guilin Zong
core   +1 more source

CORRECT-Net: A Multimodal Vibration-Current Fusion Network for Coal-Rock Cutting State Recognition in Shearers. [PDF]

Sensors (Basel)
Zhao L, Zhang Z, Wang Y, Wu T, Hao J.
europepmc   +1 more source

Quantitative Prediction of Coal-Gangue Content Using Terahertz Time-Domain Spectroscopy and Physics-Informed Machine Learning. [PDF]

Materials (Basel)
Liu Z, Hu L, Xu J, Yang Y, Li S, Xu Z, Liu L, Li J, Liu H, Ye D.   +9 more
europepmc   +1 more source

Study on fractal characteristics of creep damage in broken coal gangue with different particle size groups based on SEM scanning and digital image technology. [PDF]

Sci Prog
Gao M, Guo Z, Chen L, Hu Z, Li M, Bu C, Guo C.   +6 more
europepmc   +1 more source

Research on Coal Gangue Image Recognition Method Based on EMAM-YOLO. [PDF]

ACS Omega
Jia Y, Li B, Du Y, Zheng W, Li Y, Wu S.
europepmc   +1 more source

Ecological risk assessment of rare earth elements in agricultural soils adjacent to an abandoned coal gangue pile in Chongqing, Southwest China. [PDF]

Sci Rep
Zhang M, Peng L, Li H, Cheng L, Wang M.
europepmc   +1 more source