Publications

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2023
Alshammari, M. A., A. A. Abd El-Aziz, and H. HAMDI, "Detecting Traffic Diversion Using Metaheuristic Algorithm in SDN", International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, vol. 12, no. 9, pp. 369–379, 2023. Abstract
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Alshammari, M. A., A. A. Abd El-Aziz, and H. HAMDI, "Detecting Traffic Diversion Using Metaheuristic Algorithm in SDN", International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, vol. 12, no. 9, pp. 369–379, 2023. Abstract
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Ibraheem, M. R., S. N. Almuayqil, A. A. Abd El-Aziz, M. A. Tawfeek, and F. M. Talaat, "Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques", Egyptian Informatics Journal, vol. 24, no. 3, pp. 100391, 2023. Abstract
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Ibraheem, M. R., S. N. Almuayqil, A. A. Abd El-Aziz, M. A. Tawfeek, and F. M. Talaat, "Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques", Egyptian Informatics Journal, vol. 24, no. 3, pp. 100391, 2023. Abstract
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Rawan Hamed Alsharari, H. H., A. A. Abd El-Aziz, and M. A. Mahmood, "Enhancing Security Decision-Making to Prevent Network Attacks Using Blockchain Technology", International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, vol. 12, no. 8, pp. 414–425, 2023. Abstract
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Rawan Hamed Alsharari, H. H., A. A. Abd El-Aziz, and M. A. Mahmood, "Enhancing Security Decision-Making to Prevent Network Attacks Using Blockchain Technology", International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, vol. 12, no. 8, pp. 414–425, 2023. Abstract
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El-Ghany, S. A., M. Elmogy, and A. A. Abd El-Aziz, "A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis", Egyptian Informatics Journal, vol. 24, no. 2, pp. 229–240, 2023. Abstract
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El-Ghany, S. A., M. Elmogy, and A. A. Abd El-Aziz, "A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis", Egyptian Informatics Journal, vol. 24, no. 2, pp. 229–240, 2023. Abstract
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Khalaf Okab Alsalem, Mahmood A Mahmood, N. A. A. E. - A. A., and A. A., "Groundwater Management Based on Time series and Ensembles of Machine Learning", Processes, vol. 11, no. 3, pp. 761, 2023. Abstract
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Khalaf Okab Alsalem, Mahmood A Mahmood, N. A. A. E. - A. A., and A. A., "Groundwater Management Based on Time series and Ensembles of Machine Learning", Processes, vol. 11, no. 3, pp. 761, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Elwahsh, H., T. Medhat, A, A. A. Abd El-Aziz, M. Mahmood A., M. Alsabaan, and E. El-shafeiy, "A New Approach for Cancer Prediction based on Deep Neural Learning", Journal of King Saud University - Computer and Information Sciences, vol. 35, no. 6, pp. 101565, 2023. Abstract
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Al-Smadi, Y., M. Eshtay, A. Al-Qerem, S. Nashwan, O. Ouda, and A. A. Abd El-Aziz, "Reliable prediction of software defects using Shapley interpretable machine learning models", Egyptian Informatics Journal, vol. 24, no. 3: Elsevier, pp. 100386, 2023. Abstract
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Al-Smadi, Y., M. Eshtay, A. Al-Qerem, S. Nashwan, O. Ouda, and A. A. Abd El-Aziz, "Reliable prediction of software defects using Shapley interpretable machine learning models", Egyptian Informatics Journal, vol. 24, no. 3: Elsevier, pp. 100386, 2023. Abstract
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Al-Smadi, Y., M. Eshtay, A. Al-Qerem, S. Nashwan, O. Ouda, and A. A. Abd El-Aziz, "Reliable prediction of software defects using Shapley interpretable machine learning models", Egyptian Informatics Journal, vol. 24, no. 3: Elsevier, pp. 100386, 2023. Abstract
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El-Ghany, S. A., and A. A. Abd El-Aziz, "A Robust Tuned Random Forest Classifier using Randomized Grid Search to Predict Coronary Artery Diseases", Computers, Materials & Continua, vol. 75, no. 2, pp. 4633–4648, 2023. Abstract
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El-Ghany, S. A., and A. A. Abd El-Aziz, "A Robust Tuned Random Forest Classifier using Randomized Grid Search to Predict Coronary Artery Diseases", Computers, Materials & Continua, vol. 75, no. 2, pp. 4633–4648, 2023. Abstract
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Alanazi, H. K., A. A. Abd El-Aziz, and H. HAMDI, "Securing IoT Devices in e-Health using Machine Learning Technique", (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 14, no. 9, 2023. Abstract
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Alanazi, H. K., A. A. Abd El-Aziz, and H. HAMDI, "Securing IoT Devices in e-Health using Machine Learning Technique", (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 14, no. 9, 2023. Abstract
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2022
Tawfeek, M. A., S. Alanazi, and A. A. Abd El-Aziz, "Artificial Fish Swarm for Multi Protein Sequences Alignment in Bioinformatics", Computers, Materials & Continua, vol. 72, issue 3, pp. 1-16, 2022.
Tawfeek, M. A., S. Alanazi, and A. A. Abd El-Aziz, "Artificial Fish Swarm for Multi Protein Sequences Alignment in Bioinformatics", Computers,Materials & Continua, vol. 72, no. 3, pp. 1–16, 2022. Abstract
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Tawfeek, M. A., S. Alanazi, and A. A. Abd El-Aziz, "Artificial Fish Swarm for Multi Protein Sequences Alignment in Bioinformatics", Computers,Materials & Continua, vol. 72, no. 3, pp. 1–16, 2022. Abstract
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Al-Sharari, W., M. A. Mahmood, A. A. Abd El-Aziz, and N. A. Azim, "A Detecting Technique for the Climatic Factors that Aided the Spread of COVID-19 using Deep and Machine Learning Algorithms", IJCSNS International Journal of Computer Science and Network Security, vol. 22, no. 6, 2022. Abstract
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Al-Sharari, W., M. A. Mahmood, A. A. Abd El-Aziz, and N. A. Azim, "A Detecting Technique for the Climatic Factors that Aided the Spread of COVID-19 using Deep and Machine Learning Algorithms", IJCSNS International Journal of Computer Science and Network Security, vol. 22, no. 6, 2022. Abstract
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