A Deep Learning Approach To Monitoring Workers’ Stress At Office

AuthID
 P-00Y-AZZ
2
Author(s)
Marchetti, J
1
Editor(s)
Abraham Abraham Gandhi Bajaj Madureira Kahraman,AANAAMC
Document Type
Proceedings Paper
Year published
2023
Published
in Lecture Notes in Networks and Systems, ISSN: 2367-3370
Volume: 649 LNNS, Pages: 734-743
Conference
13Th International Conference on Innovations in Bio-Inspired Computing and Applications, Ibica 2022, and 12Th World Congress on Information and Communication Technologies, Wict 2022, Date: 15 December 2022 through 17 December 2022
Indexing
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85152529265
Source Identifiers
ISSN: 2367-3370
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