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pro vyhledávání: '"Nedungadi, Prema"'
Conventional Deep Learning frameworks for continuous sign language recognition (CSLR) are comprised of a single or multi-modal feature extractor, a sequence-learning module, and a decoder for outputting the glosses. The sequence learning module is a
Externí odkaz:
http://arxiv.org/abs/2405.12018
Publikováno v:
In Sustainable Energy Technologies and Assessments November 2024 71
Publikováno v:
In Energy Reports December 2024 12:2642-2652
Publikováno v:
In Sustainable Futures December 2024 8
Autor:
Nedungadi, Prema, Ramesh, Maneesha, Govindaraju, Venu, Rao, Bhavani, Berbeglia, Paola, Raman, Raghu
Publikováno v:
In International Journal of Information Management August 2024 77
Autor:
Raman, Raghu, Pattnaik, Debidutta, Achuthan, Krishnashree, Hughes, Laurie, Al-Busaidi, Adil S., Dwivedi, Yogesh K, Ramesh, Maneesha Vinodini, Nedungadi, Prema
Publikováno v:
In Journal of Innovation & Knowledge July-September 2024 9(3)
Publikováno v:
In Journal of Innovation & Knowledge July-September 2024 9(3)
Publikováno v:
In Heliyon 15 April 2024 10(7)
Autor:
Raman, Raghu, Kumar Nair, Vinith, Nedungadi, Prema, Kumar Sahu, Aditya, Kowalski, Robin, Ramanathan, Sasangan, Achuthan, Krishnashree
Publikováno v:
In Heliyon 15 February 2024 10(3)
Autor:
Madamanchi, Sahith, Kushal, Gona, Ravikumar, Srikesh, Dhanvin, Puli, S, Remya M, Nedungadi, Prema
Publikováno v:
In Procedia Computer Science 2024 233:733-742