Distributed Computing for Emerging Smart Networks

5th International Workshop, DiCES-N 2025, Hammamet, Tunisia, April 26-27, 2025, Revised Selected Papers
Herausgegeben:Jemili, Imen; Mosbah, Mohamed

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 2633
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89541821, 978-3-032-06776-0
• Seitenzahl: 174
• Erscheinungstermin: 7. Januar 2026
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032067760
• ISBN-10: 3032067766
• Artikelnr.: 75251121

Inhaltsangabe

.- 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.