Fast identification model for coal and gangue based on the improved tiny YOLO v3 - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Hongguang Pan, Yuhong Shi, Xinyu Lei, Zheng Wang, Fangfang Xin. Fast identification model for coal and gangue based on the improved tiny YOLO v3. J. Real-Time Image Processing, 19(3):687-701, 2022. [doi]

The following publications are possibly variants of this publication:

Detection of Coal and Gangue Based on Improved YOLOv8Qingliang Zeng, Guangyu Zhou, Lirong Wan, Liang Wang, Guantao Xuan, Yuanyuan Shao. sensors, 24(4):1246, February 2024. [doi]

Identification Method of Coal and Coal Gangue Based on Dielectric CharacteristicsYongcun Guo, Xinquan Wang, Shuang Wang, Kun Hu, Wenshan Wang. access, 9:9845-9854, 2021. [doi]

A Coal Gangue Identification Method Based on HOG Combined with LBP Features and Improved Support Vector MachineGang Cheng, Jie Chen, Yifan Wei, Sensen Chen, Zeye Pan. symmetry, 15(1):202, 2023. [doi]

Nondestructive Identification of Coal and Gangue via Near-Infrared Spectroscopy Based on Improved Broad LearningLiang Zou, Xinhui Yu, Ming Li, Meng Lei, Han Yu 0001. tim, 69(10):8043-8052, 2020. [doi]

Coal and Coal Gangue Separation Based on Computer VisionWenhui Li, Ying Wang, Bo Fu, Yifeng Lin. fcst 2010: 467-472 [doi]

runs on WebDSL