Mohamed Loey

Publications

• M. Loey, F. Smarandache, N.E.M. Khalifa, “Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning”, Symmetry, vol.12, 4, 2020
• M. Loey, M. Naman, H. Zayed, “Deep Transfer Learning in Diagnosing Leukemia in Blood Cells”, Computers, vol.9, 2, 2020
• M. Loey, M.W Jasim, H.M EL-Bakry, M.H.N. Taha, N.E.M. Khalifa, “Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques”, Symmetry, vol.12, 3, 2020
• M. Loey, A. ElSawy, M. Afify, “Deep Learning in Plant Diseases Detection for Agricultural Crops: A Survey”, International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI, vol.11, 2, 2020
• N.E.M. Khalifa, M. Loey, M.H.N. Taha, “INSECT PESTS RECOGNITION BASED ON DEEP TRANSFER LEARNING MODELS”, Journal of Theoretical and Applied Information Technology, vol.98, 2020
• N.E.M. Khalifa, M. Loey, M.H.N. Taha, “Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection”, Acta Informatica Medica, vol.27, pp. 327-332, 2020
• A.A. Mawgoud, N.E.M. Khalifa, M.H.N. Taha, M. Loey, “Cyber Security Risks in MENA Region: Threats, Challenges and Countermeasures”, International Conference on Advanced Intelligent Systems and Informatics, pp. 912-921, 2019
• M. Loey, H.M EL-Bakry, M.W Jasim, “Machine Learning in Gene Expression Profile for Central Nervous System Tumor Classification”, Journal of Convergence Information Technology, vol.14, pp. 49-60, 2019
• M.W Jasim, H.M EL-Bakry, M. Loey, “Survey on Gene Selection Using Meta Heuristic Algorithms for Classifying Cancer Disease”, International Journal of Advanced Research in Computer Science & Technology, vol.6,pp. 19-27, 2018
• A. El-Sawy, M. Loey, and H. EL-Bakry, “Arabic handwritten characters recognition using convolutional neural network,” WSEAS Transactions on Com puter Research, vol. 5, pp. 11–19, 2017.
• A. El-Sawy, H. El-Bakry, and M. Loey, “An intelligent agent tutor system for detecting Arabic children handwriting difficulty based on immediate feedback,” WSEAS TRANSACTIONS on SYSTEMS, vol. 15, pp. 63–72, 2016.
• A. El-Sawy, H. EL-Bakry, and M. Loey, “CNN for handwritten arabic digits recognition based on lenet-5,” in Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016, vol. 533, pp. 566–575, Springer International Publishing, 2016.
• A. El-Sawy, M. Loey, and H. EL-Bakry, “Arab kids tutor (akt) system for handwriting stroke errors detection,” INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, vol. 4, pp. 42–49, 2016.