E-Prosiding Persidangan Serantau Manasik Haji 2025 (MANASIK2025)
MANASIK2025 Putrajaya, Malaysia, 7-8 Oktober 2025 577 4. Alwakid, G. N. (2024). Machine learning-integrated usability evaluation and monitoring of human activities for individuals with special needs during Hajj and Umrah [Preprint]. ResearchGat e . https://www.researchgate.net/publication/385192334 5. Elsheikh, A., & colleagues. (2023). Enhancing the efficacy of assistive technologies for Arabic speakers: Accessibility initiatives in the Arab world. Journal of Accessibility and Design for All, 13 (1), 45 – 62. https://doi.org/10.17411/jacces.v13i1.402 6. Jabra, M. B., Ammar, A., Koubaa, A., Alajlan, M., Benjdira, B., & Cheikhrouhou, O. (2019). AI-based pilgrim detection using convolutional neural networks. arXiv preprint arXiv:1911.0750 9 . https://arxiv.org/abs/1911.07509 7. Olaymi, O. S., & co-authors. (2025). Design and implementation of smart robots using AI, IoT, and deep reinforcement learning to support pilgrims and Umrah performers in Mecca. International Journal of Computer Applications, 183 (20), 1 – 9. https://doi.org/10.5120/ijca2025254219 8. Shah, A. A. (2024). AI applications in mega events: Hajj and Umrah as a case study. International Journal of Advanced Computer Science and Applications, 15 (3), 112 – 120. https://doi.org/10.14569/IJACSA.2024.0150314 senarai penuh jurnal terkini (terbitan 2020-2025) khusus yang fokus AI + OKU + Haji/Umrah termasuk
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