Lightweight detection method of coal gangue based on multispectral and improved YOLOv5s-Reference-Cited by-同舟云学术

Lightweight detection method of coal gangue based on multispectral and improved YOLOv5s

Published:2023-03-24 Issue: Volume: Page:1-16
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Pengcheng Yan¹²³,Heng Zhang²,Xuyue Kan²,Fengxiang Chen²,Chuanxiang Wang⁴,Zhucun Liu²

Affiliation:

1. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China

2. School of Electrical and Information Engineering, Anhui University of Science and Technology Huainan, Anhui, China

3. Collaborative Innovation Center of Mine Intelligent Equipment and Technology, Anhui University of Science & Technology, Huainan, China

4. School of Artificial Intelligence, Anhui University of Science and Technology Huainan, Huainan, China

Funder

Open Research Grant of Collaborative Innovation Center of Mine Intelligent Equipment and Technology

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2023.2193739

Reference27 articles.

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