Air Pollution Forecasting Model Based on Chance Theory and Intelligent Techniques. - Nabil Mohamed Eldakhly; Magdy Aboul-Ela; Areeg Abdalla (Int. J. Artif. Intell. Tools, 2017)

A Novel Approach of Weighted Support Vector Machine with Applied Chance Theory for Forecasting Air Pollution Phenomenon in Egypt. - Nabil Mohamed Eldakhly; Magdy Aboul-Ela; Areeg Abdalla (Int. J. Comput. Intell. Appl., 2018)

Computational intelligence approach to automated sentiment analysis of Arabic tweets. - Nabil Mohamed Eldakhly; Mahmoud A. Zaher; Yahia B. Hassan (Neural Comput. Appl., 2025)

Enhanced early detection of ovarian cancer through deep learning and fuzzy rough sets. - Nabil Mohamed Eldakhly (Neural Comput. Appl., 2025)

Optimized machine learning for real-time, non-invasive blood pressure monitoring. - Nabil Mohamed Eldakhly (J. Supercomput., 2025)

Optimized intrusion detection with deep learning classification models. - Nabil Mohamed Eldakhly (Neural Comput. Appl., 2025)