Distributed Computing for Emerging Smart Networks
Description
This book constitutes revised selected papers from the 5th International Workshop on Distributed Computing for Emerging Smart Networks, DiCES-N 2025, held in Hammamet, Tunisia, during April 26-27, 2025.
The 7 full papers, 2 short papers and 1 invited paper included in this book were carefully reviewed and selected from 24 submissions. These papers focus on following topical sections: Artificial intelligence for safety and security; Artificial intelligence for e-health.
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Content
.- Artificial intelligence for safety and security.
.- Blockchain for Secure and Sustainable Digital Cities: Innovations, Challenges, and Future Directions.
.- Continual Federated Learning Approach for Distributed Network Intrusion Detection: A Case Study on Software Defined Networking.
.- On the Optimization of Drone Collision Avoidance using Deep Reinforcement Learning and Time-to-Collision Estimation.
.- Towards Robust Traffic Prediction: Leveraging GNNs, Data Augmentation, and Hybrid Models.
.- Towards transitional reconfiguration of WSNs' distributed algorithms.
.- Artificial intelligence for e-health.
.- Advancing Smart Healthcare with an Enhanced Multi-Modal for Med-VQA.
.- Improving Clinical Diagnosis: An Enhanced 3D U-Net Architecture with SE Blocks for Brain Tumor Segmentation.
.- AI-Powered Early Detection of Ophthalmic Diseases through Eye Aspect Ratio Analysis in Smartphone Videos: Dry Eye and Refractive Errors Diseases Study-Case.
.- Artificial Intelligence in Sleep Apnea Detection: A Review.
.- Advancements in Image Segmentation Techniques for Uterine Diseases:A Comprehensive Review.
