Machine learning and deep learning techniques in wireless and mobile networking systems
by Suganthi, K.
"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 …
Read More ↓Title Statements
- Full title :Machine learning and deep learning techniques in wireless and mobile networking systems / edited by K. Suganthi, R. Karthik, G. Rajesh, and Peter Ho Chiung Ching.
Summary
"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"--
Read More ↓Edition Statements
- Publication Date:2022.
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:2022.
The Physical Object
- Description:1 online resource.
Edition Identifiers
- ISBN:9781000441857, 1000441857, 9781003107477, 1003107478, 9781000441819, 1000441814
- oclc:on1245249406
- LC Classification:TK5105.2
- Dewey Decimal:621.3840285/631
Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Neural networks with R: smart models using CNN, RNN, deep learn…
Ciabuschi, Francesco
Document processing using machine learning
Machine learning pocket reference: working with structured data in Python
Harrison, Matt
Machine learning pocket reference: working with structured data in Python
Harrison, Matt
Practical time series analysis: master time series data processing, vis…
Pal, Avishek
Visual attributes
Files & Downloads
-
Machine Learning and Deep Learning Techniques in …
PDF · 18.3 MB · updated -
Machine Learning and Deep Learning Techniques in …
PDF · 18.3 MB · updated
Rate & Review