Mohamed R. Shoaib

Orcid: 0000-0003-3220-8714

According to our database1, Mohamed R. Shoaib authored at least 18 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Automated Segmentation and Classification of Brain Magnetic Resonance Images for Brain Tumor Diagnosis Based on Deep Learning.
IEEE Internet Things J., 2026

2025
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., 2025

Advanced deep learning approaches for fault detection in solar PV systems: A comparative study of SPDA and AIFD-SolDL.
Appl. Soft Comput., 2025

Advanced Anomaly Detection in PV Solar Cells: Leveraging Vision Transformers (ViT) and Machine Learning for Enhanced Fault Diagnosis.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

HE-GCN: A Homomorphic Encryption and Optics-Driven Graph Convolutional Network for Privacy-Preserving Fraud Detection.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Smart Dry Bean Classification: Unleashing AI-Powered Image Analysis for Superior Precision.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

2024
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model.
Comput. Biol. Medicine, February, 2024

The Convergence of Artificial Intelligence Foundation Models and 6G Wireless Communication Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Detecting Fraud in Food Delivery: Leveraging Amazon Web Services' Random Cut Forest and XGBoost Models for Enhanced Security.
Proceedings of the International Conference on Computer and Applications, 2024

Comprehensive Evaluation of Vision Transformer in MRI-based Brain Tumor Detection.
Proceedings of the International Conference on Computer and Applications, 2024

p-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

2023
Automated diagnosis of EEG abnormalities with different classification techniques.
Medical Biol. Eng. Comput., December, 2023

Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions.
CoRR, 2023

Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models.
Proceedings of the International Conference on Computer and Applications, 2023

A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems.
Proceedings of the International Conference on Computer and Applications, 2023

2022
Automatic modulation classification with 2D transforms and convolutional neural network.
Trans. Emerg. Telecommun. Technol., December, 2022

Hybrid classification structures for automatic COVID-19 detection.
J. Ambient Intell. Humaniz. Comput., 2022

Efficient deep learning models for brain tumor detection with segmentation and data augmentation techniques.
Concurr. Comput. Pract. Exp., 2022


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