Fundraising September 15, 2024 – October 1, 2024 About fundraising

Digital Ecosystems: Interconnecting Advanced Networks with...

Digital Ecosystems: Interconnecting Advanced Networks with AI Applications

Andriy Luntovskyy, Mykhailo Klymash, Igor Melnyk, Mykola Beshley, Alexander Schill
0 / 5.0
0 comments
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
This book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.
Volume:
1198
Year:
2024
Edition:
2024
Publisher:
Springer
Language:
english
Pages:
918
ISBN 10:
3031612205
ISBN 13:
9783031612206
Series:
Lecture Notes in Electrical Engineering
File:
PDF, 23.06 MB
IPFS:
CID , CID Blake2b
english, 2024
Read Online
Conversion to is in progress
Conversion to is failed

Most frequently terms