Computer Vision and Machine Intelligence Paradigms for SDGs : Select Proceedings of ICRTAC-CVMIP 2021. [ca. 2023]. In R. J. Kannan, S. M. Thampi, & S.-H. Wang (Hrsg.), Lecture Notes in Electrical Engineering (1 st ed. 2023) [Cd]. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-7169-3
ISO-690 (author-date, English)KANNAN, R. Jagadeesh, THAMPI, Sabu M und WANG, Shyh-Hau (Hrsg.). 1 st ed. 2023. Singapore: Springer Nature Singapore. ISBN 9789811971693.
Modern Language Association 9th editionKannan, R. J., S. M. Thampi, und S.-H. Wang, Herausgeber. „Computer Vision and Machine Intelligence Paradigms for SDGs : Select Proceedings of ICRTAC-CVMIP 2021“. Lecture Notes in Electrical Engineering, 1 st ed. 2023, cd, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-19-7169-3.
Mohr Siebeck - Recht (Deutsch - Österreich): Computer Vision and Machine Intelligence Paradigms for SDGs : Select Proceedings of ICRTAC-CVMIP 2021, 1 st ed. 2023. Aufl. Singapore 2023.
Emerald - HarvardKannan, R.J., Thampi, S.M. und Wang, S.-H. (Hrsg.). (2023), Computer Vision and Machine Intelligence Paradigms for SDGs : Select Proceedings of ICRTAC-CVMIP 2021, Lecture Notes in Electrical Engineering, 1 st ed. 2023., Bd. , Springer Nature Singapore, Singapore, verfügbar unter:https://doi.org/10.1007/978-981-19-7169-3.