Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition

Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition

Abstract Arabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education, healthcare, and society, as well. Previo...

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Bibliographic Details
Main Authors: Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam Tejani
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Arabian sign language
G-TverskyUNet3+
GNeXt
Hybrid optimization
CSFOA
Hybrid deep learning
Online Access:https://doi.org/10.1038/s41598-025-03560-0
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https://doi.org/10.1038/s41598-025-03560-0

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