Machine Learning for Mobile Communications (ePub)
27 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Machine Learning for Mobile Communication takes readers on a journey from the basic to advanced knowledge about mobile communications and machine learning. It is for undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Chiranji Lal Chowdhary is an associate professor in the School of Information Technology & Engineering at the Vellore Institute of Technology (VIT) in Vellore, India, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College at Jodhpur in 2001, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology at Bangalore in 2008. He received his Ph.D. in Information Technology and Engineering from the VIT University Vellore in 2017. From 2006 to 2010 he worked at M.S. Ramaiah Institute of Technology in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing.
Tushar Hrishikesh Jaware holds a bachelor's degree in electronics and telecommunication engineering from North Maharashtra University, Jalgaon. He further pursued a master's degree in digital electronics and obtained a Ph.D. in medical image processing from Sant Gadge Baba Amravati University, Amravati. Currently serving as the Dean of Research and Development at the R. C. Patel Institute of Technology in Shirpur, Maharashtra, India, Dr. Jaware possesses over 18 years of invaluable teaching experience.
Subrata Chowdhury is working in the Department of the Computer Science of Engineering of Sreenivasa Institute of Technology and Management as an associate professor. He has been
- 2024, 1. Auflage, 288 Seiten, Englisch
- Herausgegeben: Sinh Cong Lam, Chiranji Lal Chowdhary, Tushar Hrishikesh Jaware, Subrata Chowdhury
- Verlag: Taylor & Francis
- ISBN-10: 1040034411
- ISBN-13: 9781040034415
- Erscheinungsdatum: 17.06.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 3.40 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Machine Learning for Mobile Communications".
Kommentar verfassen