Data-Driven Intelligence in Wireless Networks (PDF)
Concepts, Solutions, and Applications
(Sprache: Englisch)
This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven...
sofort als Download lieferbar
eBook (pdf)
Fr. 81.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Data-Driven Intelligence in Wireless Networks (PDF)“
This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and AI.
Autoren-Porträt
MUHAMMAD KHALIL AFZAL (SM'16) received his MCS and M.S degrees in Computer Science from COMSATS Institute of Information Technology, Wah Campus, Pakistan in 2004 and 2007, respectively, and his PhD. degree from the Department of Information and Communication Engineering, Yeungnam University, South Korea, in December 2014. He has several research projects funded by the Higher Education Commission (HEC), Pakistan, and National Grassroots ICT Research Initiative, Ignite. His research interests include wireless sensor networks, ad hoc networks, data-driven intelligence in wireless networks, smart cities, 5G, and IoT. MUHAMMAD ATEEQ received his bachelor's degree from Bahauddin Zakariya University at Multan, in 2005, and his MS and Ph.D. degree from COMSATS University Islamabad, Wah Campus, in 2007 and 2021, respectively. He has been in academia for the last 15 years. He is currently an Assistant Professor of Computer Science with The Islamia University of Bahawalpur. His research interests include using data-driven techniques to improve the quality of service in wireless communication.
SUNG WON KIM received his B.S. and M.S. degrees from the Department of Control and Instrumentation Engineering, Seoul National University, South Korea, in 1990 and 1992, respectively, and a Ph.D. degree from the School of Electrical Engineering and Computer Sciences, Seoul National University, in 2002. From 1992 to 2001, he was a researcher with the Research and Development Center, LG Electronics, South Korea. From 2001 to 2003, he was a researcher with the Research and Development Center, AL Tech, South Korea. From 2003 to 2005, he was a postdoctoral researcher with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA. In 2005, he joined the Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea, where he is currently a Professor. His research
... mehr
interests include resource management, wireless networks, mobile networks, performance evaluation, and machine learning.
... weniger
Bibliographische Angaben
- 2023, 1. Auflage, 266 Seiten, Englisch
- Herausgegeben: Muhammad Khalil Afzal, Muhammad Ateeq, Sung Won Kim
- Verlag: Taylor & Francis
- ISBN-10: 1000841332
- ISBN-13: 9781000841336
- Erscheinungsdatum: 27.03.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 18 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Data-Driven Intelligence in Wireless Networks"
0 Gebrauchte Artikel zu „Data-Driven Intelligence in Wireless Networks“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Data-Driven Intelligence in Wireless Networks".
Kommentar verfassen