Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 129,16
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: 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!
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 174,47
Cantidad disponible: 15 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 183,87
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 186,18
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 175,11
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 174,46
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 193,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 192,92
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Librería: CitiRetail, Stevenage, Reino Unido
EUR 197,18
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 230,58
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 236,04
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. 2022. 1st Edition. Hardcover. . . . . .
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 249,57
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 251,27
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 400 pages. 9.25x6.22x1.18 inches. In Stock.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 291,47
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 111985721X ISBN 13: 9781119857211
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 306,92
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.