Optimized Hybrid Convolution Neural Network with Machine Learning for Arabic Sign Language Recognition

The World Health Organization stated that the global population of hard of hearing individuals is estimated to exceed 360 million people, and this number is continuously increasing. Communication barriers between these individuals and hearing individuals pose significant challenges in many areas of...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Traitement du signal 2024-08, Vol.41 (4), p.1835-1846
Hauptverfasser:	Mahmoud, Ahmed Osman, Ziedan, Ibrahim, Zamel, Amr A.
Format:	Artikel
Sprache:	eng ; fre
Schlagworte:	Accuracy Algorithms Alphabets Arabic language Artificial intelligence Artificial neural networks Communications systems Datasets Deafness Decision trees Deep learning Evolutionary algorithms Evolutionary computation Genetic algorithms Hearing Heuristic methods Machine learning Neural networks Optimization Recognition Sign language Speaking Support vector machines
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!