Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia

IntroductionThe regional disparity in higher education access can only be met when there are strategies for sustainable development and diversification of the economy, as envisioned in Saudi Vision 2030. Currently, 70% of universities are concentrated in the Central and Eastern regions, leaving the...

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Autors principals:	Abdullah Addas, Muhammad Nasir Khan, Muhammad Tahir, Fawad Naseer, Yonis Gulzar, Choo Wou Onn
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-03-01
Col·lecció:	Frontiers in Education
Matèries:	sensor data integration generative adversarial networks medical university distribution sustainable regional growth data-driven decision-making educational infrastructure planning
Accés en línia:	https://www.frontiersin.org/articles/10.3389/feduc.2025.1527337/full
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