Results 81 to 90 of about 9,993 (95)

Coal and gangue recognition and detection based on deep learning

International Conference on Algorithms, Software Engineering, and Network Security
Existing deep learning-based methods for coal gangue identification, when applied in complex environments such as overhead conveyor belts, often suffer from false positives, false negatives, and low accuracy in recognizing small coal gangue objects.
Hongyan Li, Zheng Zhou, Zhan Wang
semanticscholar   +1 more source

Multipoint Acceleration Information Acquisition of the Impact Experiments Between Coal Gangue and the Metal Plate and Coal Gangue Recognition Based on SVM and Serial Splicing Data

The Arabian journal for science and engineering, 2021
Yang Yang, Q. Zeng
semanticscholar   +1 more source

Research on coal gangue recognition based on multi-layer time domain feature processing and recognition features cross-optimal fusion

Measurement, 2022
Yang Yang, Yao Zhang, Qingliang Zeng
semanticscholar   +1 more source

L-DEYO: An optimized lightweight model for intelligent coal gangue recognition

Journal of Real-Time Image Processing
Sitong Yan, Wei Liu, Ziyi Yang, Enqi Zhang, Yasheng Chang   +4 more
semanticscholar   +1 more source

oImproving coal/gangue recognition efficiency based on liquid intervention with infrared imager at low emissivity

Measurement, 2021
Jin-wang Zhang, Xing-Ping Han, Dongliang Cheng   +2 more
semanticscholar   +1 more source

Coal gangue recognition in the strong background noise using two-level auditory feature fusion with attention mechanism

Measurement
Zheng Yang, Shibo Wang, Shanguo Yang, Songyong Liu, Zipeng Zhang, Houguang Liu   +5 more
semanticscholar   +1 more source

An attentional fusion-based method for coal-gangue recognition in noisy environment of generalised workface

Journal of Supercomputing
Q. Song, Shirong Sun, Q. Song, Xinrui Jiang, Haiyan Jiang, Lina Lu   +5 more
semanticscholar   +1 more source

A bionic auditory approach for coal gangue recognition based on gradient curling acoustic metamaterial and auditory perception

The European Physical Journal Plus
binglong jiao, Ningguang Yao, Shanguo Yang, Bo Zhang, Zhaohai Liu, Houguang Liu   +5 more
semanticscholar   +1 more source

Research on coal gangue recognition technology based on YOLOv8

Youth Academic Annual Conference of Chinese Association of Automation
Yang Yang, Penghui Chen, D. Xue, Qikai Xun, D. Yan, Zhongxin Zhou   +5 more
semanticscholar   +1 more source

Coal-gangue recognition for top coal caving face based on electromagnetic detection

Measurement
Jiahao Li, Lei Si, Zhongbing Wang, Dong Wei, Jinheng Gu   +4 more
semanticscholar   +1 more source