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ORCIDMohamed R. Shoaib
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Journal Articles
- 2025
[j6]Mohamed R. Shoaib, Heba M. Emara, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie
, Hamada Esmaiel:
Revolutionizing diabetic retinopathy diagnosis through advanced deep learning techniques: Harnessing the power of GAN model with transfer learning and the DiaGAN-CNN model. Biomed. Signal Process. Control. 99: 106790 (2025)- 2024
- [j5]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Walid El-Shafai, Naglaa F. Soliman, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel:
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model. Comput. Biol. Medicine 169: 107834 (2024) - 2023
- [j4]Essam Abdellatef, Heba M. Emara, Mohamed R. Shoaib, Fatma E. Ibrahim, Mohamed Elwekeil, Walid El-Shafai, Taha E. Taha, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Ibrahim M. Eldokany, Fathi E. Abd El-Samie:
Automated diagnosis of EEG abnormalities with different classification techniques. Medical Biol. Eng. Comput. 61(12): 3363-3385 (2023) - 2022
- [j3]Mohamed R. Shoaib, Mohamed R. Elshamy, Taha E. Taha, Adel S. El-Fishawy, Fathi E. Abd El-Samie:
Efficient deep learning models for brain tumor detection with segmentation and data augmentation techniques. Concurr. Comput. Pract. Exp. 34(21) (2022) - [j2]Hanan S. Ghanem, Mohamed R. Shoaib, Safaa El-Gazar, Heba M. Emara, Walid El Shafai, Samia Abd El-Moneim, Adel S. El-Fishawy, Taha E. Taha, Hesham F. A. Hamed, Ghada M. El Banby, Maha Elsabrouty, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie, Gerges M. Salama:
Automatic modulation classification with 2D transforms and convolutional neural network. Trans. Emerg. Telecommun. Technol. 33(12) (2022) - [j1]Mohamed R. Shoaib, Heba M. Emara, Mohamed Elwekeil, Walid El Shafai, Taha E. Taha, Adel S. El-Fishawy, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie:
Hybrid classification structures for automatic COVID-19 detection. J. Ambient Intell. Humaniz. Comput. 13(9): 4477-4492 (2022)
Conference and Workshop Papers
- 2024
- [c3]Mohamed R. Shoaib, Zefan Wang, Jun Zhao:
The Convergence of Artificial Intelligence Foundation Models and 6G Wireless Communication Networks. VTC Spring 2024: 1-5 - 2023
- [c2]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao:
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. ICCA 2023: 1-7 - [c1]Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey, Jun Zhao:
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models. ICCA 2023: 1-7
Informal and Other Publications
- 2024
- [i4]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao:
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. CoRR abs/2401.06831 (2024) - [i3]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Walid El-Shafai, Naglaa F. Soliman, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel:
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model. CoRR abs/2401.13990 (2024) - 2023
- [i2]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao:
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions. CoRR abs/2310.20301 (2023) - [i1]Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey, Jun Zhao:
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models. CoRR abs/2311.17394 (2023)
Coauthor Index
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