Title Machine learning and cognitive computing for mobile communications and wireless networks / edited by Krishna Kant Singh, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India, Akansha Singh, Department of CSE, ASET, Amity University Uttar Pradesh, Noida, India, Korhan Cengiz, Electrical-Electronics Engineering Department, Trakya University, Edine, Turkey, and Dac-Nhuong Le, Faculty of Information Technology, Haiphong University, Vietnam. [O'Reilly electronic resource]

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Hoboken, NJ, USA : Wiley-Scrivener, 2020.

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Bookmark link: https://library.naperville-lib.org:444/record=b3186493~S1

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Description	1 online resource
	text file
	text file rda
Bibliography	Includes bibliographical references and index.
Summary	"Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems"-- Provided by publisher
Subject	Mobile computing -- Technological innovations.
	Machine learning.
	Soft computing.
	Informatique mobile -- Innovations.
	Apprentissage automatique.
	Informatique douce.
	Machine learning
	Soft computing
Added Author	Singh, Krishna Kant (Telecommunications professor), editor.
Other Form:	Print version: Machine learning and cognitive computing for mobile communications and wireless networks. Hoboken, NJ, USA : Wiley-Scrivener, 2020 9781119640363 (DLC) 2020023352 (OCoLC)1157843811
ISBN	9781119640554 (electronic bk.)
	1119640555 (electronic bk.)
	9781119640578
	1119640571
Standard No.	9781119640363

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