Opening book details…
Can I read Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (Big Data for Industry 4.0) on EtoBox?
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (Big Data for Industry 4.0) by K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching is a nonfiction available to read on EtoBox.
What is Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (Big Data for Industry 4.0) about?
"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"-- Provided by publisher
Who reads Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (Big Data for Industry 4.0)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching
- Publisher
- CRC Press
- Published
- 2021
- Language
- EN
- ISBN
- 9781003107477
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Stem
Other editions & translations
More by K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching
Browse all works by K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching
Similar books
- Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks — Krishna Kant Singh , Akansha Singh , Korhan Cengiz , Dac-Nhuong Le (2020)
- DEEP REINFORCEMENT LEARNING FOR WIRELESS COMMUNICA TIONS AND NETWORKING : theory, applications and... imp lementation — Hoang, Dinh Thai; Huynh, Nguyen Van; Nguyen, Diep N.; Hossain, Ekram; Niyato, Dusit; Nguyen Van Huynh; Diep N. Nguyen; Ekram Hossain; Dusit Niyato (2023)
- Deep Learning in Wireless Communications — Ning Yang Haijun Zhang (2024)
- Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI — Luca Massaron Mark Ryan (2025)
- Wireless Communication Security (Advances in Data Engineering and Machine Learning) — Manju Khari , Manisha Bharti , M. Niranjanamurthy (2023)
- Wireless Networking and Mobile Data Management — R.K. Ghosh (auth.) (2017)