Results 131 to 140 of about 495 (176)

Integration of Multiframe and Multichannel Residual Attention Models for Mine Water Hazard Video Feature Recognition. [PDF]

ACS Omega
Zhang S, Liu Y, Wang C, Wei Y, Luo H, Sheng H, Du Y, Wang R, Wu Z, Liu J.   +9 more
europepmc   +1 more source

Research on lightweight algorithm for gangue detection based on improved Yolov5. [PDF]

Sci Rep
Yuan X, Fu Z, Zhang B, Xie Z, Gan R.
europepmc   +1 more source

Detection of Coal and Gangue Based on Improved YOLOv8. [PDF]

Sensors (Basel)
Zeng Q, Zhou G, Wan L, Wang L, Xuan G, Shao Y.   +5 more
europepmc   +1 more source

YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8. [PDF]

PeerJ Comput Sci
Wang W, Zhao Y, Xue Z.
europepmc   +1 more source

Research on improved gangue target detection algorithm based on Yolov8s. [PDF]

PLoS One
Fu Z, Yuan X, Xie Z, Li R, Huang L.
europepmc   +1 more source

MCF-Net: Personnel and machinery detection model for complex downhole drilling environments. [PDF]

PLoS One
Jin Z, Li H.
europepmc   +1 more source

BDL: transformer-based super-resolution network for degraded underground coal mine images. [PDF]

Sci Rep
Hu T, Qiu J, Cheng X.
europepmc   +1 more source

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Impact-slip experiments and systematic study of coal gangue “category” recognition technology Part I: Impact-slip experiments between coal gangue mixture and top coal caving hydraulic support and the study of coal gangue “category” recognition technology

Powder Technology, 2021
Abstract Advancing of the intelligent fully mechanized caving mining technology (IFMCMT) is the fundamental method to improve the output of coal resources. Accurate identification of coal gangue is the necessary condition for the realization of IFMCMT.
Yang Yang, Qingliang Zeng
exaly   +2 more sources

Recognition of Coal and Gangue Based on X-Ray

Applied Mechanics and Materials, 2013
In this paper,a recognition method of coal and gangue based on x-ray is studied. With the different density , the coal and gangue on a belt can be detected by x-ray. After penetrated by x-ray, with the acquisition of ray signal and image analysis, the gangue can be accurately distinguished from the coal.
Yi Ding Zhao, Xiaoming He
openaire   +1 more source

Research on coal gangue recognition method based on XBS-YOLOv5s

Measurement Science and Technology, 2023
Abstract Aiming at the problems of misdetection, omission and low recognition accuracy of coal gangue recognition due to the harsh environmental factors such as low illumination, motion blur and large quantities of coal gangue mixing in coal mines, a coal gangue recognition method based on XBS-YOLOv5s is proposed.
Yuhao Yang, Deyong Li, Yongcun Guo, Shuang Wang, Dongyang Zhao, Wei Chen, Hui Zhang   +6 more
openaire   +1 more source