Taha, M. H. N., M. Loey, R. K. Chakrabortty, and M. H. N. Taha, "Within the Protection of COVID-19 Spreading: A Face Mask Detection Model Based on the Neutrosophic RGB with Deep Transfer Learning.", Neutrosophic Sets and Systems, vol. 50, pp. 320-335, 2022.
Taha, M. H. N., M. H. N. Taha, and N. E. M. Khalifa, "Blockchain Technology and Machine Learning for Fake News Detection", Implementing and Leveraging Blockchain Programming, Singapore, Springer, 2022.
Taha, M. H. N., G. Manogaran, M. H. N. Taha, and M. Loey, "A deep learning semantic segmentation architecture for COVID‐19 lesions discovery in limited chest CT datasets", Expert Systems, vol. 39, issue 6, 2022.
Taha, M. H. N., M. H. N. Taha, A. E. Hassanien, and S. Elghamrawy, "Detection of coronavirus (COVID-19) associated pneumonia based on generative adversarial networks and a fine-tuned deep transfer learning model using chest X-ray dataset", Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022 , pp. 234–247, 2023.
Taha, M. H. N., M. H. N. Taha, A. Abu‑Talleb, and A. M. I. R. A. KOTB, "A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system", Journal of Cloud Computing, vol. 11, issue 97, 2022.
Taha, M. H. N., M. H. N. Taha, and N. E. Khalifa, "A Linear Programming Methodology to Optimize Decision-Making for Ready-Mixed Cement Products: a Case Study on Egypt’s New Administrative Capital", Process Integration and Optimization for Sustainability, vol. 7, pp. 177–190, 2023.
Taha, M. H. N., N. E. M. Khalifa, M. H. N. Taha, and A. M. I. R. A. KOTB, "Optimization of Task Scheduling in Cloud Computing Using the RAO-3 Algorithm", The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies: 164, 2023.
Taha, M. H. N., N. E. M. Khalifa, M. Loey, and M. H. N. Taha, Cyber-Physical Systems for Industrial Transformation: Fundamentals, Standards, and Protocols, : CRC Press, 2023.
Taha, M. H. N., A. A. Mawgoud, A. Abu‑Talleb, M. H. N. Taha, and Y. ‑D. Zhang, "A COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility Reports", International Journal of Computational Intelligence Systems, vol. 16, issue 96, pp. 1-11, 2023.
Taha, M. H. N., M. H. N. Taha, M. R. Mouhamed, and A. E. Hassanien, "Robust Deep Transfer Models for Fruit and Vegetable Classification: A Step Towards a Sustainable Dietary", Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications: Springer Cham, 2021.