Distributed Computing for Emerging Smart Networks (eBook, PDF)

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

• Format: PDF

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 175
• Erscheinungstermin: 1. Januar 2026
• Englisch
• ISBN-13: 9783032067777
• Artikelnr.: 76270516

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.