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Taha, M. H. N., M. H. N. Taha, A. E. Hassanien, and I. Selim, "Deep Galaxy V2: Robust Deep Convolutional Neural Networks for Galaxy Morphology Classifications", The IEEE International Conference on Computing Sciences and Engineering (ICCSE), Kuwait City, Kuwait, 122-127, 2018.
Taha, H. E., M. Bayoumi, G. M. El-Bayoumi, and S. D. Hassan, "Model Reference Adaptive Flight Path Stabilization for Altitude and Velocity Control", 12-th International Conference on Aerospace science and Aviation Technology (ASAT), MTC, Cairo, Egypt, 2009.
Taha, N. F. H., and H. A. E. Sebaee, "Concerns Regarding Organ Donation among Adult Patients with Different Health Problems in Egypt", Journal of Biology, Agriculture and Healthcare , vol. Vol.4, , issue No.21, pp. 17-29, 2014. concerns_regarding_organ_donation_among_adult_patients_with_different_health_problems_in_egypt_.pdf
Taha, M. H. N., M. Loey, M. H. N. Taha, and H. N. E. T. Mohamed, "Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection.", Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, vol. 27, issue 5, pp. 327-332, 2019. Abstract6-1579457250.pdf

Introduction: Diabetic retinopathy (DR) is the most common diabetic eye disease worldwide and a leading cause of blindness. The number of diabetic patients will increase to 552 million by 2034, as per the International Diabetes Federation (IDF).

Aim: With advances in computer science techniques, such as artificial intelligence (AI) and deep learning (DL), opportunities for the detection of DR at the early stages have increased. This increase means that the chances of recovery will increase and the possibility of vision loss in patients will be reduced in the future.

Methods: In this paper, deep transfer learning models for medical DR detection were investigated. The DL models were trained and tested over the Asia Pacific Tele-Ophthalmology Society (APTOS) 2019 dataset. According to literature surveys, this research is considered one the first studies to use of the APTOS 2019 dataset, as it was freshly published in the second quarter of 2019. The selected deep transfer models in this research were AlexNet, Res-Net18, SqueezeNet, GoogleNet, VGG16, and VGG19. These models were selected, as they consist of a small number of layers when compared to larger models, such as DenseNet and InceptionResNet. Data augmentation techniques were used to render the models more robust and to overcome the overfitting problem.

Results: The testing accuracy and performance metrics, such as the precision, recall, and F1 score, were calculated to prove the robustness of the selected models. The AlexNet model achieved the highest testing accuracy at 97.9%. In addition, the achieved performance metrics strengthened our achieved results. Moreover, AlexNet has a minimum number of layers, which decreases the training time and the computational complexity.

Taha, S. I., M. Y. Elzanaty, S. M. Abdelmageed, A. E. - H. E. I. Sherbini, and W. M. Badawy, "Effect of Bobath Concept Combined with Task-Oriented Exercises on Improving Postural Stability in Chronic Stroke Patients: A Randomized Controlled Trial.", International Journal of Clinical and Experimental Neurology, vol. 6, issue 1, pp. 8-11, 2018.
Taha, E. H., and N. Abu-Shady, "Effect of Silver Nanoparticles on the Mortality Pathogenicity and Reproductivity of Entomopathogenic Nematodes.", International Journal of Zoological Research,, vol. 12, issue (3-4), pp. 47-50, 2016. Abstract
TAHA, A. H. M. A. D., H. Elwan, and waliedeldaly, "Endovascular management of flush common iliac artery occlusion:challenges and solutions", International journal of angiology , vol. 4, issue 4, pp. 0000, 2016.
Taha, A., A. Mahgoub, and E. Abulzahab, A three-port bidirectional buck-boost regulator optimised for solar lighting applications, : IEEE, pp. 1316 - 1321, 2017. Abstract
Taha, M. H., "Nonlinear Vibration Model for Initially Stressed Beam-Foundation System", TOAMJ, issue 6, pp. 23-31, 2012.
Taha, A., M. Abdelmomen, O. Mahgoub, and E. Abulzahab, " Improving Permeability of Ferrite Cores Used in Switch-mode Power Supplies.", Research Journal of Applied Sciences, Engineering and Technology, vol. 13, issue 10, pp. 800-806, 2016.
Taha, S. H., I. M. El-Sherbiny, A. S. Salem, M. Abdel-Hamid, A. H. Hamed, and G. A. Ahmed, "Antiviral activity of curcumin loaded milk proteins nanoparticles on potato virus Y", Pakistan Journal of Biological Sciences, vol. 22, no. 12, pp. 614-622, 2019. AbstractWebsite
Taha, A. A., "Renal Artery Stenting; Challenges & Solutions.", The first Orient Endovascular Symposium, , Aleppo, Syria. , June , 2007.
Taha, M., A. A. Saleh, and A. Hemeida, "Effect of Magnet Materials on Designing of a High Power-Low Voltage Permanent Magnet Flux Switching Motor for Automotive Applications", 2020 International Conference on Electrical Machines (ICEM), vol. 1: IEEE, pp. 2280–2286, 2020. Abstract
Taha, M. N., N.E.Mahmoud, I. A. Saroit, and H. N. Elmahdy, "Energy Based Scheduling Scheme for Wireless Sensor", CiiT International Journal of Wireless Communication, vol. 4, issue 16, pp. 973-978, 2012.
Taha, R. H., H. E. A. Gendy, M. A. Kamal, and F. E. M. Guindy, "Suspension recession of inferior oblique versus graded recession technique in V-pattern strabismus with primary inferior oblique overaction", Delta Journal of Ophthalmology, vol. 18, issue 3, pp. 176-181, 2017.
Taha, M., D. labib, Y. Baghdady, NehalEl-Ghobashy, and A. A. Elamragy, "Subclinical left ventricular dysfunction during systemic lupus erythematosus activity with follow-up after remission – A speckle tracking echocardiographic study", The Egyptian Rheumatologist journal, vol. 44, pp. 279-285, 2022.
Taha, S., and X. Shen, Securing IP Mobility Management for Vehicular Ad Hoc Networks, , Canada, Springer,, 2013.
Taha, M. H., M. M. Abdallah, and A. A. A. El-Monem, "Improving salinity tolerance and yield of Barley (Horde vulgare L.) plants using Arginine", International Journal of Academic Research, vol. 5, issue 5, pp. 29-38, 2013.
Taha, S. H., M. Abdel-Hamid, A. A. Awad, and F. M. F. Elshaghabee, "Extending the Shelf Life of Ghee Using Garden Cress and Jojoba Oils as Alternatives of Synthetic Antioxidants", Egyptian Journal of Chemistry, vol. 65, no. 3, pp. 315-322, 2022. AbstractWebsite
Taha, M. H. N., M. H. N. Taha, A. E. Hassanien, and H. N. E. T. Mohamed, "Deep Iris: Deep Learning for Gender Classification Through Iris Patterns.", Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, vol. 27, issue 2, pp. 96-102, 2019. Abstract

Introduction: One attractive research area in the computer science field is soft biometrics.

Aim: To Identify a person's gender from an iris image when such identification is related to security surveillance systems and forensics applications.

Methods: In this paper, a robust iris gender-identification method based on a deep convolutional neural network is introduced. The proposed architecture segments the iris from a background image using the graph-cut segmentation technique. The proposed model contains 16 subsequent layers; three are convolutional layers for feature extraction with different convolution window sizes, followed by three fully connected layers for classification.

Results: The original dataset consists of 3,000 images, 1,500 images for men and 1,500 images for women. The augmentation techniques adopted in this research overcome the overfitting problem and make the proposed architecture more robust and immune from simply memorizing the training data. In addition, the augmentation process not only increased the number of dataset images to 9,000 images for the training phase, 3,000 images for the testing phase and 3,000 images for the verification phase but also led to a significant improvement in testing accuracy, where the proposed architecture achieved 98.88%. A comparison is presented in which the testing accuracy of the proposed approach was compared with the testing accuracy of other related works using the same dataset.

Conclusion: The proposed architecture outperformed the other related works in terms of testing accuracy.

Taha, A., and A. S. Hadi, "Anomaly Detection Methods for Categorical Data: A Review", ACM Computing Surveys (CSUR), vol. 52, issue 2, pp. 38:1-38-35, 2019.
Taha, M., N. Mitwally, A. Y. M. A. N. S. SOLIMAN, and E. Yousef, "Potential Diagnostic and Prognostic Utility of miR-141,miR-181b1,miR-23b in Breast Cancer", International Journal of Molecular Sciences , vol. 21, issue 22, pp. 1-17, 2020.