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Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition.

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Title: Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition.
Authors: Chowdhury, Prothoma Khan1, Oyshe, Kabiratun Ummi1, Rahaman, Muhammad Aminur1, aminur@cse.green.edu.bd, Debnath, Tanoy1, Rahman, Anichur2, anis_cse@niter.edu.bd, Kumar, Neeraj3,4, neeraj.kumar@thapar.edu
Source: Neural Computing & Applications; Nov2024, Vol. 36 Issue 32, p19951-19966, 16p
Database: Applied Science & Technology Source
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  Data: Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-024-10258-3
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 19951
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      – TitleFull: Computer vision-based hybrid efficient convolution for isolated dynamic sign language recognition.
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            NameFull: Chowdhury, Prothoma Khan
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            NameFull: Oyshe, Kabiratun Ummi
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            NameFull: Rahaman, Muhammad Aminur
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            NameFull: Debnath, Tanoy
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            NameFull: Rahman, Anichur
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              M: 11
              Text: Nov2024
              Type: published
              Y: 2024
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