CHOWDHURY, Prothoma Khan, OYSHE, Kabiratun Ummi, RAHAMAN, Muhammad Aminur, DEBNATH, Tanoy, RAHMAN, Anichur und KUMAR, Neeraj, 2024. Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition. Neural Computing & Applications. 11 November 2024. Vol. 36, no. 32, p. 19951-19966. DOI 10.1007/s00521-024-10258-3.
Elsevier - Harvard (with titles)Chowdhury, P.K., Oyshe, K.U., Rahaman, M.A., Debnath, T., Rahman, A., Kumar, N., 2024. Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition. Neural Computing & Applications 36, 19951-19966. https://doi.org/10.1007/s00521-024-10258-3
American Psychological Association 7th editionChowdhury, P. K., Oyshe, K. U., Rahaman, M. A., Debnath, T., Rahman, A., & Kumar, N. (2024). Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition. Neural Computing & Applications, 36(32), 19951-19966. https://doi.org/10.1007/s00521-024-10258-3
Springer - Basic (author-date)Chowdhury PK, Oyshe KU, Rahaman MA, Debnath T, Rahman A, Kumar N (2024) Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition.. Neural Computing & Applications 36:19951-19966. https://doi.org/10.1007/s00521-024-10258-3
Juristische Zitierweise (Stüber) (Deutsch)Chowdhury, Prothoma Khan/ Oyshe, Kabiratun Ummi/ Rahaman, Muhammad Aminur/ Debnath, Tanoy/ Rahman, Anichur/ Kumar, Neeraj, Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition., Neural Computing & Applications 2024, 19951-19966.