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Psixologiya departamenti əməkdaşlarının məqaləsi “Journal of Education and Training Studies” jurnalında
Süni intellekt texnologiyalarının e-hökumətdə vətəndaş xidmətləri üçün tətbiqi
Specialty:- 1203.01 – Computer sciences
Field of science: - Technical sciences Scientific adviser: Doctor of Philosophy in technical sciences,
Associate Professor Leyla MuradkhanliThis study focused on recognizing people through the iris, and an AI-powered framework, model, and method were created. The methodological basis of the thesis is AI using deep learning and the use of CNN. The method was used to integrate this methodology into e-government services to improve citizens' access to services and identify the importance of iris recognition for e-government applications as part of AI. We use a modified linear activation function, max pooling, and flattened matrix to build deep learning models.
The application of AI technologies in e-government opens the way for opportunities for innovation and the development of new services and solutions