ARTIFICIAL INTELLIGENCE FOR THE MANAGEMENT OF THE HUMAN FACTOR OF EMPLOYEES IN OPERATIONS IN THE OIL AND GAS SECTOR-Reference-Cited by-同舟云学术

ARTIFICIAL INTELLIGENCE FOR THE MANAGEMENT OF THE HUMAN FACTOR OF EMPLOYEES IN OPERATIONS IN THE OIL AND GAS SECTOR

Published:2022-09-26 Issue:2022 Volume:22 Page:321-322
ISSN:2525-7579
Container-title:Rio Oil and Gas Expo and Conference
language:
Short-container-title:ROG

Author:

Pansini Paola Fernandes^ORCID,Gonçalves Ana Karolina^ORCID,Rebuli Giuliano dos Santos,Vidoto Lucas Valentim^ORCID,De Mello Jean Pablo Vieira^ORCID,Soares Andre Rocha^ORCID,Zancanela Filho Valdyr,Guizardi Pedro^ORCID,Tozetti Lucas Ferreira^ORCID,Rodrigues Rayssa Martins

Publisher

Instituto Brasileiro de Petroleo e Gas

Subject

Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference8 articles.

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4. Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R. (2018). Advances in photopletysmography signal analysis for biomedical applications. Sensors, 18(6), 1894. https://doi.org/10.3390/s18061894

5. Rodrigues, J. J. P. C., De Rezende Segundo, D. B., Junqueira, H. A., Sabino, M. H., Prince, R. M. I., Al-Muhtadi, J., & De Albuquerque, V. H. C. (2018). Enabling Technologies for the Internet of Health Things. IEEE Access, 6(00), 13129–13141. https://doi.org/10.1109/ACCESS.2017.2789329