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ORCIDMohamed R. Shoaib
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2020 – today
- 2026
[j8]Mohamed R. Shoaib
, Dusit Niyato, Heba M. Emara, Jun Zhao:
Automated Segmentation and Classification of Brain Magnetic Resonance Images for Brain Tumor Diagnosis Based on Deep Learning. IEEE Internet Things J. 13(5): 9872-9889 (2026)- 2025
- [j7]Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Milad Taleby Ahvanooey, Essam Nabil:
Advanced deep learning approaches for fault detection in solar PV systems: A comparative study of SPDA and AIFD-SolDL. Appl. Soft Comput. 184: 113592 (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) - [c9]Mohamed R. Shoaib, Jun Zhao:
Smart Dry Bean Classification: Unleashing AI-Powered Image Analysis for Superior Precision. VTC2025-Spring 2025: 1-6 - [c8]Mohamed R. Shoaib, Jun Zhao:
HE-GCN: A Homomorphic Encryption and Optics-Driven Graph Convolutional Network for Privacy-Preserving Fraud Detection. VTC2025-Fall 2025: 1-5 - [c7]Mohamed R. Shoaib, Jun Zhao:
Advanced Anomaly Detection in PV Solar Cells: Leveraging Vision Transformers (ViT) and Machine Learning for Enhanced Fault Diagnosis. VTC2025-Fall 2025: 1-5 - 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) - [c6]Mohamed R. Elshamy, Heba M. Emara, Mohamed R. Shoaib, Abdel-Hameed A. Badawy:
p-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving. HPEC 2024: 1-6 - [c5]Alaa E. Ahmed, Muhammad A. Elwany, Muhammad A. Mahmoud, Mohamed A. Fouad, Muhammad A. Al-Ghareeb, Tarek Dahab, Mohamed R. Shoaib, Ahmed F. Abdallah, Gamal A. El-Sheikh, Heba M. Emara:
Comprehensive Evaluation of Vision Transformer in MRI-based Brain Tumor Detection. ICCA 2024: 1-6 - [c4]Mohamed R. Shoaib, Mohamed Taher, Taher Abdelhameed, Tarek Dahab:
Detecting Fraud in Food Delivery: Leveraging Amazon Web Services' Random Cut Forest and XGBoost Models for Enhanced Security. ICCA 2024: 1-6 - [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 - [i5]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) - [i4]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) - [i3]Mohamed R. Elshamy, Heba M. Emara, Mohamed R. Shoaib, Abdel-Hameed A. Badawy:
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving. CoRR abs/2410.15602 (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) - [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 - [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) - 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)
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