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Aggiungi al carrellohardcover. Condizione: Gut. 272 Seiten; 9781786308634.3 Gewicht in Gramm: 1.
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Editore: ISTE Ltd and John Wiley and Sons Inc, 2024
ISBN 10: 1786308630 ISBN 13: 9781786308634
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 136,09
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Editore: ISTE Ltd and John Wiley & Sons Inc, London, 2024
ISBN 10: 1786308630 ISBN 13: 9781786308634
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computings efficiency, reliability and resource allocation. Innovative solutions for dynamic task scheduling, load balancing and data management, all tailored to the unique challenges of edge environments, are displayed. Starting with operation research methodologies with foundations, applications and research challenges in edge computing and an overview of digital education, this book continues with an exploration of applications in the health sector using IoT, intelligent payment procedures and performance measurement of edge computing, using edge computing and operation research. Smart or AI-based applications are also explored further on and the book ends with insight into ultralightweight and security protocols with solutions for IoT using blockchain. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 136,08
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,68
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 160,06
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 174,04
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: ISTE Ltd and John Wiley & Sons Inc, 2024
ISBN 10: 1786308630 ISBN 13: 9781786308634
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 164,58
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 680.
Editore: John Wiley & Sons Inc, New York, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 183,24
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 191,96
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 183,99
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Aggiungi al carrelloCondizione: New. 2024. 1st Edition. hardcover. . . . . .
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Editore: John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119762251 ISBN 13: 9781119762256
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 150,16
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Aggiungi al carrelloCondizione: New. Rajdeep Chakraborty is Associate Professor in Computer Science and Engineering at the University Institute of Engineering, Chandigarh University, India.Anupam Ghosh is Professor of Computer Science and Engineering at Netaji Subhash Engineering College in Ko.
EUR 203,67
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Aggiungi al carrelloHardcover. Condizione: Brand New. 272 pages. 9.21x6.14x0.63 inches. In Stock.
EUR 229,42
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Aggiungi al carrelloCondizione: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Editore: John Wiley & Sons Inc, New York, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 196,94
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
EUR 236,37
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: moluna, Greven, Germania
EUR 190,64
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Aggiungi al carrelloCondizione: New. Rajdeep Chakraborty, PhD, is an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. His fields of interest are mainly in cryptography and computer security. He was awarded the Adarsh.
Da: moluna, Greven, Germania
EUR 194,89
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Aggiungi al carrelloCondizione: New. Rajdeep Chakraborty obtained his PhD in CSE from the University of Kalyani. He is currently an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Garia, Kolkata, India. He has several publications .
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 236,05
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Aggiungi al carrelloCondizione: New. 2022. 1st Edition. Hardcover. . . . . .
EUR 185,35
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - This book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computing's efficiency, reliability and resource allocation. Innovative solutions for dynamic task scheduling, load balancing and data management, all tailored to the unique challenges of edge environments, are displayed.
Condizione: New.
Editore: John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119762251 ISBN 13: 9781119762256
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 216,93
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 250,96
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 400 pages. 9.25x6.22x1.18 inches. In Stock.