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Computer Vision and Machine Intelligence Paradigms for SDGs..
Lecture Notes in Electrical Engineering, 967
Kannan, R. Jagadeesh
;
Thampi, Sabu M
;
Wang, Shyh-Hau
- 1st ed. 2023 . , 2023
Link:
https://doi.org/10.1007/978-981-19-7169-3
RT T1
Computer Vision and Machine Intelligence Paradigms for SDGs: Select Proceedings of ICRTAC-CVMIP 2021
UL https://suche.suub.uni-bremen.de/peid=springer-978-981-19-7169-3&Exemplar=1&LAN=DE A1 Kannan, R. Jagadeesh A1 Thampi, Sabu M A1 Wang, Shyh-Hau NO 1st ed. 2023 PB Springer Nature Singapore YR 2023 NO 1 Online-Ressource (339 S.) T3 Lecture Notes in Electrical Engineering, 967 SN 9789811971693 SN 9789811971686 SN 9789811971709 SN 9789811971716 K1 Artificial intelligence K1 Machine learning K1 Application software K1 Computer engineering K1 Computer networks K1 Artificial Intelligence K1 Machine Learning K1 Computer and Information Systems Applications K1 Computer Engineering and Networks LK http://dx.doi.org/https://doi.org/10.1007/978-981-19-7169-3 DO https://doi.org/10.1007/978-981-19-7169-3 SF ELIB - SuUB Bremen
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