Multiscale Convolutional Network for Repairing Coal Slime Foam Images-Reference-Cited by-同舟云学术

Multiscale Convolutional Network for Repairing Coal Slime Foam Images

Published:2023-03-01 Issue:10 Volume:8 Page:9547-9554
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Huang Xianwu¹^ORCID,Wang Yuxiao¹^ORCID,Shang Haili²^ORCID,Zhang Jinshan³

Affiliation:

1. School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, China

2. Key Laboratory of Coal Processing and Efficient Utilization, China University of Mining and Technology, Ministry of Education, Xuzhou 221116, China

3. School of Mines and Coal, Inner Mongolia University of Science & Technology, Baotou 014010, China

Funder

Inner Mongolia University of Science and Technology

Key Laboratory of Coal Processing and Efficient Utilization, China University of Mining and Technology

Supported by Research Program of science and technology at Universities of Inner Mongolia Autonomous Region

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c08293

Reference42 articles.

1. Flotation froth image classification using convolutional neural networks

2. R-K algorithm: A novel Dynamic Feature Matching Method of flotation froth

3. Fundamentals of froth flotation

4. Froth image feature engineering-based prediction method for concentrate ash content of coal flotation

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