Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020. [ca. 2022]. In A. Tomar, H. Malik, P. Kumar, & A. Iqbal (Hrsg.), Lecture Notes in Electrical Engineering (1 st ed. 2022) [Cd]. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-16-2354-7
ISO-690 (author-date, English)TOMAR, Anuradha, MALIK, Hasmat, KUMAR, Pramod und IQBAL, Atif (Hrsg.). 1 st ed. 2022. Singapore: Springer Nature Singapore. ISBN 9789811623547.
Modern Language Association 9th editionTomar, A., H. Malik, P. Kumar, und A. Iqbal, Herausgeber. „Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020“. Lecture Notes in Electrical Engineering, 1 st ed. 2022, cd, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-16-2354-7.
Mohr Siebeck - Recht (Deutsch - Österreich): Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020, 1 st ed. 2022. Aufl. Singapore 2022.
Emerald - HarvardTomar, A., Malik, H., Kumar, P. und Iqbal, A. (Hrsg.). (2022), Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020, Lecture Notes in Electrical Engineering, 1 st ed. 2022., Bd. , Springer Nature Singapore, Singapore, verfügbar unter:https://doi.org/10.1007/978-981-16-2354-7.