使用增强机器学习方法的高效印度手语识别和分类

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY

International Journal of Critical Infrastructures Pub Date : 1900-01-01 DOI:10.1504/ijcis.2025.10054997

T. Kamalakannan, E. S. Soji

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Efficient Indian Sign Language Recognition and Classification Using Enhanced Machine Learning Approach

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来源期刊

International Journal of Critical Infrastructures ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.00

自引率

16.70%

发文量

期刊介绍： IJCIS is an inter-disciplinary and refereed journal that provides a professional and scholarly forum for cross-learning between different scientific and technological disciplines, and between business and economic, as well as between societal and managerial, disciplines in the area of critical infrastructures. Critical infrastructures are networks for the provision of telecommunication and information services, energy services, water supply, transportation of people and goods, banking and financial services, government services and emergency services. By addressing commonalities and interrelationships between the various sectors, IJCIS enables scientists, policy makers and professionals in the field to learn from experiences in other countries and in other infrastructure sectors.