Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems PDF
Edited by K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching
Part of the Big Data for Industry 4.0 series
Description
This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems.
The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications.
The book is written as a reference that offers the latest technologies and research results to various industry problems.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:284 pages
- Publisher:CRC Press
- Publication Date:13/09/2021
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Category:
- Product design
- Engineering: general
- Electrical engineering
- Automatic control engineering
- Communications engineering / telecommunications
- Environmental science, engineering & technology
- Computing: general
- Computer networking & communications
- Computer architecture & logic design
- Artificial intelligence
- ISBN:9781000441819
Information
-
Download - Immediately Available
- Format:PDF
- Pages:284 pages
- Publisher:CRC Press
- Publication Date:13/09/2021
-
Category:
- Product design
- Engineering: general
- Electrical engineering
- Automatic control engineering
- Communications engineering / telecommunications
- Environmental science, engineering & technology
- Computing: general
- Computer networking & communications
- Computer architecture & logic design
- Artificial intelligence
- ISBN:9781000441819
