Results 11 to 20 of about 1,583 (195)

Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning [PDF]

Energies, 2019
Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and help segregate coal and gangue.
Yuanyuan Pu, Derek B. Apel, Alicja Szmigiel, Jie Chen   +3 more
doaj   +2 more sources

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

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   +4 more sources

A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition [PDF]

Scientific Reports
Coal gangue recognition presents significant challenges in the mining industry due to its inefficient and costly traditional treatment methods. The advent of deep learning techniques has introduced novel solutions for automating and online coal gangue ...
Tongkai Gu, Haiyan Zhao, Yasheng Chang, Sitong Yan, Feihan Cao, Wei Liu   +5 more
doaj   +2 more sources

Research on Coal and Gangue Recognition Model Based on CAM-Hardswish with EfficientNetV2

Applied Sciences, 2023
In response to the multiscale shape of coal and gangue in actual production conditions, existing coal separation methods are inefficient in recognizing coal and gangue, causing environmental pollution and other problems.
Na Li, Jiameng Xue, Sibo Wu, Kunde Qin, Na Liu   +4 more
doaj   +2 more sources

Coal gangue recognition method based on water heat transfer and infrared thermal imaging

Gong-kuang zidonghua
The coal gangue recognition method based on visible light images has low accuracy and slow recognition speed. The coal gangue recognition method based on high-energy ray transmission has significant radiation, resulting in limited application.
CHENG Gang, CHEN Jie, PAN Zeye, WEI Yifan, CHEN Sensen   +4 more
doaj   +2 more sources

Recognition Methods for Coal and Coal Gangue Based on Deep Learning [PDF]

IEEE Access, 2021
Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present. Consequently, considerable manpower is needed, which adds a burden to enterprises and results in low efficiency. As an important branch of artificial intelligence, deep learning has been widely applied in many fields ...
Qiang Liu, Jingao Li, Yusheng Li, Mingwang Gao   +3 more
openaire   +2 more sources

Performance Analysis of Coal Gangue Recognition Based on Hierarchical Filtering and Coupled Wrapper Feature Selection Method

IEEE Access, 2023
Coal gangue recognition of top coal caving is one of the important links in the process of intelligent coal mine construction. However, the recognition accuracy of this technology in practical application is still challenging, because the recognition ...
He Li, Yao Zhang, Yang Yang, Qingliang Zeng   +3 more
doaj   +1 more source

X-ray transmission intelligent coal-gangue recognition method

Gong-kuang zidonghua, 2022
The coal-gangue image recognition is an important part of coal-gangue separation technology based on pseudo dual energy X-ray transmission (XRT). However, it is difficult to segment the coal-gangue image due to the close proximity or occlusion of coal ...
WANG Wenxin, HUANG Jie, WANG Xiuyu, SHI Yulin, WU Gaochang   +4 more
doaj   +1 more source

YOLOv4-Tiny-Based Coal Gangue Image Recognition and FPGA Implementation

Micromachines, 2022
Nowadays, most of the deep learning coal gangue identification methods need to be performed on high-performance CPU or GPU hardware devices, which are inconvenient to use in complex underground coal mine environments due to their high power consumption, huge size, and significant heat generation.
Shanyong Xu, Yujie Zhou, Yourui Huang, Tao Han   +3 more
openaire   +3 more sources

Research progress and key technologies of intelligent coal-gangue sorting robot

Gong-kuang zidonghua, 2022
The gangue is wrapped by slurry in underground coal mine, which causes difficult coal-gangue recognition and sorting. The underground working space is narrow, so the equipment layout is difficult, and the diversion of coal-gangue is difficult. Therefore,
ZHANG Ye, MA Hongwei, WANG Peng, CAO Xiangang, WEI Xiaorong, ZHOU Wenjian   +5 more
doaj   +1 more source