Results 81 to 90 of about 361 (167)

A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition. [PDF]

Sci Rep
Song Q, Sun S, Song Q, Wang B, Liu Z, Jiang H.   +5 more
europepmc   +1 more source

Research on coal gangue recognition method based on CED-YOLOv5s model

Gong-kuang zidonghua
Due to the complex working conditions of high noise, low illumination, and blurred movement in coal mines underground, as well as the phenomenon of coal gangue easily gathering, it is difficult to extract features from coal gangue object detection models. The classification and positioning of coal gangue are inaccurate.
HE Kai, CHENG Gang, WANG Xi, GE Qingnan, ZHANG Hui, ZHAO Dongyang   +5 more
openaire   +1 more source

Intelligent Coal-Gangue Sorting Method Based on CCD and DE-XRT Image Fusion. [PDF]

ACS Omega
Jia Y, Li B, Du Y, Zhao D, Liu X, Li Y.
europepmc   +1 more source

Mechanism and optimization of hydrocyclone-based enrichment of calcium and magnesium in fine coal gangue. [PDF]

PLoS One
Liu Z, Pan H, Song T, He Z.
europepmc   +1 more source

Multi-objective optimal control and application of solid waste synergistically excited fluidized solidified soil. [PDF]

Sci Rep
Liu B, Ye S, Shi H, Chen C, Long Z, He L, Li C.   +6 more
europepmc   +1 more source

Distributed optical fiber acoustic wave sensor detection technology for gangue slurry pipeline conveying blockage. [PDF]

Sci Rep
Zhu L, Qiu F, Liu C, Gu W, Ma C, Song T, HaoPan, Zhang P.   +7 more
europepmc   +1 more source

Multitask allocation model of the coal foreign object sorting robot based on optimal capacity and benefit. [PDF]

Sci Rep
Xudong W, Xiangang C, Wentao D, Peng W, Ye Z, Jiahui L.   +5 more
europepmc   +1 more source

Characterization of acoustic emission parameters and identification of staged fracture propagation in solidified body-coal combination based on experimental and machine learning approaches. [PDF]

Sci Rep
Tan Y, Cheng H, He M, Guo W, Bai E, Li H, Guo W, Wang Y, Zhang S, Chang B, Hu S.   +10 more
europepmc   +1 more source

Coal gangue image recognition model based on improved U−Net and top coal caving control

Meitan xuebao
Coal gangue identification technology is a critical component for the automation of fully mechanized mining faces and represents a significant challenge within this domain. To address the challenges of suboptimal quality and limited scale of existing coal gangue image datasets, as well as the slow detection speeds and low recognition accuracy of coal ...
Yong YUAN, Zhenghan QIN, Yongqi XIA, Rang WU, Libao LI, Yong LI   +5 more
openaire   +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