Parashar, D., Thakur, S., Raju, K. B., Madhavi, G. B., & Sharma, K. (2023). A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture. Revue d’Intelligence Artificielle, 37(4), 937-943. https://doi.org/10.18280/ria.370414
ISO-690 (author-date, English)PARASHAR, Deepak, THAKUR, Sudhanshu, RAJU, Kachapuram Basava, MADHAVI, Garine Bindu und SHARMA, Kanhaiya, 2023. A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture. Revue d’Intelligence Artificielle. 1 August 2023. Vol. 37, no. 4, p. 937-943. DOI 10.18280/ria.370414.
Modern Language Association 9th editionParashar, D., S. Thakur, K. B. Raju, G. B. Madhavi, und K. Sharma. „A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture.“. Revue d’Intelligence Artificielle, Bd. 37, Nr. 4, August 2023, S. 937-43, https://doi.org/10.18280/ria.370414.
Mohr Siebeck - Recht (Deutsch - Österreich)Parashar, Deepak/Thakur, Sudhanshu/Raju, Kachapuram Basava/Madhavi, Garine Bindu/Sharma, Kanhaiya: A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture., Revue d’Intelligence Artificielle 2023, 937-943.
Emerald - HarvardParashar, D., Thakur, S., Raju, K.B., Madhavi, G.B. und Sharma, K. (2023), „A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture.“, Revue d’Intelligence Artificielle, Vol. 37 No. 4, S. 937-943.