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Next-generation wireless networks meet advanced machine learning applications[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.3/1
書名/作者:	Next-generation wireless networks meet advanced machine learning applications/ Ioan-Sorin Comsa and Ramona Trestian, editors.
其他作者:	Comsa, Ioan-Sorin,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2019]
面頁冊數:	1 online resource (xxii, 356 p.)
標題:	Cognitive radio networks.
標題:	Wireless communication systems - Automatic control.
標題:	Self-organizing systems.
標題:	Machine learning.
ISBN:	9781522574590 (e-book)
ISBN:	9781522574583 (hardback)
書目註:	Includes bibliographical references and index.
內容註:	Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.
摘要、提要註:	"This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7458-3

Next-generation wireless networks meet advanced machine learning applications[electronic resource] /
Next-generation wireless networks meet advanced machine learning applications[electronic resource] /Ioan-Sorin Comsa and Ramona Trestian, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxii, 356 p.)

Includes bibliographical references and index.

Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.

ISBN: 9781522574590 (e-book)Subjects--Topical Terms:

446497
Cognitive radio networks.

LC Class. No.: TK5103.4815 / .N49 2019e

Dewey Class. No.: 006.3/1

Next-generation wireless networks meet advanced machine learning applications[electronic resource] /
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245 0 0 $a Next-generation wireless networks meet advanced machine learning applications $h [electronic resource] / $c Ioan-Sorin Comsa and Ramona Trestian, editors.
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300 $a 1 online resource (xxii, 356 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.
650 0 $a Cognitive radio networks. $3 446497
650 0 $a Wireless communication systems $x Automatic control. $3 734180
650 0 $a Self-organizing systems. $3 433539
650 0 $a Machine learning. $3 202931
700 1 $a Comsa, Ioan-Sorin, $d 1984- $e editor. $3 734179
700 1 $a Trestian, Ramona, $d 1983- $3 481171
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