الحوكمة التنبؤية في المؤسسات الرقمية: إطار عمل للتعلم العميق مُعزز بشبكات الذاكرة طويلة المدى (LSTM) لتحسين إدارة حوادث تكنولوجيا المعلومات اقتصاديًا باستخدام سجلات العمليات المُحسّنة

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21. Al Feki, E., & Neji, J. (2024). Statistical modelling to assessing and enhancing road traffic safety in Tripoli, Libya: A systematic approach. Journal of Engineering Research, 12(4), 659-669.‏

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25. Alsharif, A., Ahmed, A. A., Musa, Z. A., Dalla, L. O. F. B., & Nouh, A. (2026). Drugs: The Path of Darkness Between Religious Awareness and Societal Loss. International Journal of Academic Publishing in Educational Sciences and Humanities (IJAPESH), 2(1), 49-56.‏

26. A-abdullatef, M. M., Albaraesi, M. J. S., EL-sseid, M. A. M., Dalla, L. O. B., Ahmed, A. A., Agila, A., & Alsharif, A. (2026). Tri-Conditional Biomechanical Signature Extraction: A Hybrid Framework Integrating Multivariate Functional Clustering, Cross-Modal Regression, and Inter-Subject Classification for Discriminative Gait Pattern Analysis. Comprehensive Science Journal, 10(39), 1063-1087. https://doi.org/10.65405/0j1byd74

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32. Dalla, L. O. F. B., & AHMAD, T. M. A. (2024). Integration of Artificial Bee Colony Algorithm with Deep Learning for Predictive Maintenance in Industrial IoT.‏

33. Ben Dalla, L., Medeni, T. M., Agila, A. A., & Medeni, İ. M. (2024). Architectural Synergy: Investigating the Role of Artificial Neural Networks in Enabling Deep Learning. The International Journal of Engineering & Information Technology (IJEIT), 12(1), 96-103.‏

34. Ramadhan, H. R. S., Osman, M. O. M., Dalla, L. O. F. B., Rashid, T. A., Albaraesi, M. J. S., El-Sseid, M. A. M., & Alnnale, T. (2025). A New Approach of the Machine Learning Framework Integrating Policy Design to Predict Renewable Electricity Penetration in Resource-Constrained Settings. Comprehensive Science Journal, 10(Supplement 38), 2929-2950

35. Albaraesi, M. J. S., Ali, M. A. M. A., Dalla, L. O. B., EL-sseid, M. A. M., Medeni, T. D., Medeni, İ. T., & Alnnale, T. (2025). Random construction in the city of Al-Bayda during the period 2011-2022 and its irregular expansion and its impact on the urban landscape. Comprehensive Science Journal, 10 (Supplement 38), 2590-2614.

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38. Jetlawei, S. S., Dalla, L. O. B., Karal, Ö., Degirmenci, A., El-Sseid, M. A. M., Essgaer, M., & Alsharif, A. (2025). Temporal Intelligence and Algorithmic Equity: A Multi-Phase Framework for Predictive Student Success in Higher Education. Comprehensive Science Journal, 9(36), 1574-1595.https://doi.org/10.65405/f0xx5p02

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46. Ben Dalla, L., MEDENİ, T., MEDENİ, İ., & ULUBAY, M. (2024). Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management. Economy: strategy and practice, 19(4).‏

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68. Hawa Alrawayati (2020). Development of High Efficiency Optimization Algorithm based on New Topology in Particle Swarm Optimization for Parkinson’s Disease. IOSR Journal of Mathematics (IOSR-JM). 8

69. Dalla, L. O. B., Medeni, T. D., & Medeni, I. T. (2024). Evaluating the Impact of Artificial Intelligence-Driven Prompts on the Efficacy of Academic Writing in Scientific Research. Afro-Asian Journal of Scientific Research (AAJSR), 48-60.

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74. Dalla, L. B., Karal, Ö., Mhamed, E. S., & Alsharif, A. (2026). An IoT-enabled, THD-based fault detection and predictive maintenance framework for solar PV systems in harsh climates: integrating DFT and machine learning for enhanced performance and resilience. Wadi Alshatti University Journal of Pure and Applied Sciences, 41-55.‏

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82. Ben Dalla, L,O, F, M.eljali , E, Agila, A,A,A, (2020). The evaluation of the daily profits of the group of cosmetics Sephora branches by using distributed systems the K-means algorithm and WEKA visualization. (KMAWV) (pp. 1-15). IEEE.‏https://doi.org/10. 32879/KMAWV50717.2020.65432879

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92. Degirmenci, A., & Karal, O. (2018). Evaluation of kernel effects on svm classification in the success of wart treatment methods. Am. J. Eng. Res, 7, 238-244.‏

93. Karim, A. M., Karal, Ö., & Çelebi, F. V. (2018). A new automatic epilepsy serious detection method by using deep learning based on discrete wavelet transform. In Proceedings of the 3rd International Conference on Engineering Technology and Applied Sciences (ICETAS) (Vol. 4, pp. 15-18).‏

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