Distributed Computing for Emerging Smart Networks
5th International Workshop, DiCES-N 2025, Hammamet, Tunisia, April 26-27, 2025, Revised Selected Papers
Series: Communications in Computer and Information Science;
- Publisher's listprice EUR 117.69
-
48 811 Ft (46 487 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 12% (cc. 5 857 Ft off)
- Discounted price 42 954 Ft (40 909 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
48 811 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 3 January 2026
- ISBN 9783032067760
- Binding Paperback
- No. of pages175 pages
- Size 235x155 mm
- Language English
- Illustrations X, 175 p. 50 illus., 30 illus. in color. 700
Categories
Long 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.
MoreTable 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.
More
