Networking And Computation 2

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Advanced Computing Networking And Informatics Volume 2

Author : Malay Kumar Kundu
ISBN : 9783319073507
Genre : Technology & Engineering
File Size : 64.42 MB
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Advanced Computing, Networking and Informatics are three distinct and mutually exclusive disciplines of knowledge with no apparent sharing/overlap among them. However, their convergence is observed in many real world applications, including cyber-security, internet banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume proceedings explore the combined use of Advanced Computing and Informatics in the next generation wireless networks and security, signal and image processing, ontology and human-computer interfaces (HCI). The two volumes together include 148 scholarly papers, which have been accepted for presentation from over 640 submissions in the second International Conference on Advanced Computing, Networking and Informatics, 2014, held in Kolkata, India during June 24-26, 2014. The first volume includes innovative computing techniques and relevant research results in informatics with selective applications in pattern recognition, signal/image processing and HCI. The second volume on the other hand demonstrates the possible scope of the computing techniques and informatics in wireless communications, networking and security.
Category: Technology & Engineering
Advanced Computing, Networking and Informatics- Volume 2
Language: en
Pages: 621
Authors: Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty
Categories: Technology & Engineering
Type: BOOK - Published: 2014-05-26 - Publisher: Springer

Advanced Computing, Networking and Informatics are three distinct and mutually exclusive disciplines of knowledge with no apparent sharing/overlap among them. However, their convergence is observed in many real world applications, including cyber-security, internet banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume proceedings explore the combined
Networks, Communication, and Computing Vol. 2
Language: en
Pages: 108
Authors: Andras Farago
Categories: Science
Type: BOOK - Published: 2021-08-26 - Publisher: MDPI

Networks, communications, and computing have become ubiquitous and inseparable parts of everyday life. This book is based on a Special Issue of the Algorithms journal, and it is devoted to the exploration of the many-faceted relationship of networks, communications, and computing. The included papers explore the current state-of-the-art research in
Wireless Networking and Mobile Data Management
Language: en
Pages: 546
Authors: R.K. Ghosh
Categories: Computers
Type: BOOK - Published: 2017-04-20 - Publisher: Springer

This book examines two main topics, namely, Wireless Networking and Mobile Data Management. It is designed around a course the author began teaching to senior undergraduate and master’s students at the Department of Computer Science & Engineering of the Indian Institute of Technology Kanpur. The first part of the book,
Network and Parallel Computing
Language: en
Pages: 626
Authors: Ching-Hsien Hsu, Xuanhua Shi, Valentina Salapura
Categories: Computers
Type: BOOK - Published: 2014-08-23 - Publisher: Springer

This book constitutes the proceedings of the 11th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2014, held in Ilan, Taiwan, in September 2014. The 42 full papers and 24 poster papers presented were carefully reviewed and selected from 196 submissions. They are organized in topical sections
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems
Language: en
Pages: 296
Authors: K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-14 - Publisher: CRC Press

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