Distributed Computing for Emerging Smart Networks: 5th International Workshop, DiCES-N 2025, Hammamet, Tunisia, April 26-27, 2025, Revised Selected Papers

Author:   Imen Jemili ,  Mohamed Mosbah
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032067760


Pages:   174
Publication Date:   07 November 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Distributed Computing for Emerging Smart Networks: 5th International Workshop, DiCES-N 2025, Hammamet, Tunisia, April 26-27, 2025, Revised Selected Papers


Overview

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.

Full Product Details

Author:   Imen Jemili ,  Mohamed Mosbah
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032067760


ISBN 10:   3032067766
Pages:   174
Publication Date:   07 November 2025
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- 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.

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