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Artificial intelligence and deep learning for computer networkmanagement and analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and deep learning for computer networkedited by Sangita Roy ... [et al.]
Reminder of title:	management and analysis /
other author:	Roy, Sangita.
Published:	Boca Raton, FL :Chapman & Hall/CRC Press,2023.
Description:	1 online resource.
Subject:	Computer networksManagement
Online resource:	https://www.taylorfrancis.com/books/9781003212249
ISBN:	9781003212249$q(electronic bk.)

Artificial intelligence and deep learning for computer networkmanagement and analysis /
Artificial intelligence and deep learning for computer networkmanagement and analysis /[electronic resource] :edited by Sangita Roy ... [et al.] - 1st ed. - Boca Raton, FL :Chapman & Hall/CRC Press,2023. - 1 online resource. - Chapman & Hall/CRC distributed computing and intelligent data analytics. - Chapman & Hall/CRC distributed computing and intelligent data analytics series..

Includes bibliographical references and index.

Deep Learning in traffic management : deep traffic analysis of secure DNS / Minal Moharir, Nikitha Srikanth, Neel Bhandari and Risha Dassi -- Machine learning based approach for detecting beacon forgeries in Wi-Fi networks / Rohit Jaysankar, Vamshi Sunku Mohan, and Sriram Sankaran -- Reinforcement learning-based approach towards switch migration for load balancing in SDN / Abha Kumari, Shubham Gupta, Joydeep Chandra, and Ashok Singh Sairam.

"'Artificial intelligence and deep learning for computer network : management and analysis' aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books"--

ISBN: 9781003212249$q(electronic bk.)Subjects--Topical Terms:

995752
Computer networks
--Management

LC Class. No.: TK5105.548

Dewey Class. No.: 005.740285/63

Artificial intelligence and deep learning for computer networkmanagement and analysis /
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245 0 0 $a Artificial intelligence and deep learning for computer network $h [electronic resource] : $b management and analysis / $c edited by Sangita Roy ... [et al.]
250 $a 1st ed.
260 $a Boca Raton, FL : $b Chapman & Hall/CRC Press, $c 2023.
300 $a 1 online resource.
490 1 $a Chapman & Hall/CRC distributed computing and intelligent data analytics
504 $a Includes bibliographical references and index.
505 2 $a Deep Learning in traffic management : deep traffic analysis of secure DNS / Minal Moharir, Nikitha Srikanth, Neel Bhandari and Risha Dassi -- Machine learning based approach for detecting beacon forgeries in Wi-Fi networks / Rohit Jaysankar, Vamshi Sunku Mohan, and Sriram Sankaran -- Reinforcement learning-based approach towards switch migration for load balancing in SDN / Abha Kumari, Shubham Gupta, Joydeep Chandra, and Ashok Singh Sairam.
520 $a "'Artificial intelligence and deep learning for computer network : management and analysis' aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books"-- $c Provided by publisher.
588 $a OCLC-licensed vendor bibliographic record.
650 0 $a Computer networks $x Management $x Data processing. $3 995752
650 0 $a Autonomic computing. $3 299107
650 0 $a Computer networks $x Automatic control. $3 276424
650 0 $a Self-organizing systems. $3 189005
650 0 $a Artificial intelligence. $3 194058
700 1 $a Roy, Sangita. $3 995750
830 0 $a Chapman & Hall/CRC distributed computing and intelligent data analytics series. $3 995751
856 4 0 $u https://www.taylorfrancis.com/books/9781003212249