Mining security assessment in an underground environment using a novel face recognition method with improved multiscale neural network

Author:

Liu Xinhua,Qi PengORCID,Siarry PatrickORCID,Hua Dezheng,Ma Zhenjun,Guo XiaoqiangORCID,Kochan OrestORCID,Li Z.ORCID

Publisher

Elsevier BV

Subject

General Engineering

Reference37 articles.

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2. A.X. Zhao, The Analysis of Coal Safety Production Monitoring Data Based on Deep Learning, in: 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Guilin, PEOPLES R CHINA, Jul 29-31 2017, 2017, pp. 1053-1057. [Online]. Available: ://WOS:000437355301017. [Online]. Available: ://WOS:000437355301017.

3. Deep learning of underground cognitive radio modulation recognition technology using for coal mining;Liu;Fresen. Environ. Bull.,2022

4. X.C. Guo, M. Liu, D.E.P. Inc, Research on the Face Image Detection in Coal Mine Environment, in: International Conference on Electronic, Information Technology and Intellectualization (ICEITI), Guangzhou, PEOPLES R CHINA, Jun 18-19 2016, 2016, pp. 375-379. [Online]. Available: ://WOS:000385265600055. [Online]. Available: ://WOS:000385265600055.

5. Y.F. Li, H.J. Chen, J.P. Li, Study on information management system and its application in colliery enterprises, in: 13th International Conference on Enterprise Information Systems (ICEIS 2011), Beijing Jiaotong Univ, Sch Econ & Management, Beijing, PEOPLES R CHINA, Jun 08-11 2011, 2011, pp. 589-592. [Online]. Available: ://WOS:000393449200089. [Online]. Available: ://WOS:000393449200089.

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