Fr. 297.00

Proceedings of Fifth International Conference on Computing and Communication Networks - ICCCN 2025, Volume 8

English · Paperback / Softback

Will be released 18.01.2026

Description

Read more

This book includes selected peer-reviewed papers presented at Fifth International Conference on Computing and Communication Networks (ICCCN 2025), held at Manchester Metropolitan University, UK, during 1-2 August 2025. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.

List of contents

Analyzing citation networks for paper relevance prediction using quantum machine learning.- Designing a cloud native framework for a monitoring system for drivers and passengers in public transportation system.- Efficient medium access control for low latency industrial mm communications.- A study on delay assessment for heterogenous traffic in vanet.

Product details

Assisted by Gia-Nhu Nguyen (Editor), Pancham Shukla (Editor), Abhishek Swaroop (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Release 18.01.2026
 
EAN 9783032141859
ISBN 978-3-0-3214185-9
No. of pages 490
Illustrations XV, 490 p. 164 illus., 84 illus. in color.
Series Lecture Notes in Networks and Systems
Subjects Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering

Künstliche Intelligenz, Artificial Intelligence, Data Analytics, Industry 4.0, Communications Engineering, Networks, Computational Intelligence, communication networks, Network and Computing Technologies, ICCCN 2025 Proceedings

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.