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.
| Other author | Suganthi, K. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2022. |
| Description | ix, 274 pages ; 25 cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Big data for industry 4.0 : challenges and applications |
| Abstract | "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. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2021014164 |
| ISBN | 9780367620066 (hbk.) |
| ISBN | 9780367620080 (pbk.) |
| ISBN | (ebk.) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |