Title

Research on Coal Gangue Detection and Recognition Based on Lightweight Network MS-YOLOV3

Journal title

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Yearbook

2022

Volume

vol. 38

Issue

No 4

Affiliation

Li, Deyong : State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China ; Wang, Guofa : Collaborative Innovation Center for Mine Intelligent Technology and Equipment, Anhui University of Science and Technology, Huainan 232001, China ; Wang, Shuang : China Coal Technology Engineering Group Coal Mining Research Institute, Beijing 100013, China ; Wang, Wenshan : China Coal Technology Engineering Group Coal Mining Research Institute, Beijing 100013, China ; Du, Ming : China Coal Technology Engineering Group Coal Mining Research Institute, Beijing 100013, China

Authors

Li, Deyong ; Wang, Guofa ; Wang, Shuang ; Wang, Wenshan ; Du, Ming

Keywords

detection and recognition ; coal and gangue ; MobileNetv2 ; SPP ; YOLOv3

Divisions of PAS

Nauki Techniczne

Coverage

133-152

Publisher

Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN ; Instytut Gospodarki Surowcami Mineralnymi i Energią PAN

Date

2022.12.20

Type

Article

Identifier

DOI: 10.24425/gsm.2022.143628