Opening book details…
Can I read Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems on EtoBox?
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by K. Suganthi; R. Karthik; G. Rajesh; Peter Ho Chiung Ching is a computer science book available to read on EtoBox.
What is Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems 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 t
Who reads Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- K. Suganthi; R. Karthik; G. Rajesh; Peter Ho Chiung Ching
- Publisher
- CRC Press, Taylor et Francis Group
- Published
- 2021
- Language
- EN
- ISBN
- 9780367620080
- Category
- computer science
- Subjects
- Computer Science, Engineering, Radio
- Updated
- 2026-03-24
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)
- Applications of Machine Learning in Wireless Communications (Telecommunications) — Zhiguo Ding Ruisi He (2019)
- Wireless and Mobile Networking — Mahbub Hassan (2022)
- Deep Learning (Adaptive Computation and Machine Learning series) — Ian Goodfellow and Yoshua Bengio and Aaron Courville (2016)