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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
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Next-Generation Recommendation Systems
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 108,37
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Da: Majestic Books, Hounslow, Regno Unito
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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Da: Books Puddle, New York, NY, U.S.A.
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Da: Majestic Books, Hounslow, Regno Unito
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EUR 143,49
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 145,75
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Da: Books Puddle, New York, NY, U.S.A.
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 149,82
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EUR 115,73
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Aggiungi al carrelloCondizione: New. Dr. E. Chandra Blessie is currently working as dean, Innovation, School of Innovation, KG College of Arts and Science, Coimbatore, Tamil Nadu, India. She has 23 years of teaching experience. She is guiding Ph.D. research scholars. She ha.
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NextGeneration Recommendation Systems A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 153,85
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Aggiungi al carrelloHardcover. Condizione: Brand New. 368 pages. In Stock.
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Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 176,15
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Aggiungi al carrelloHardcover. Condizione: Brand New. 264 pages. 9.18x6.12x9.45 inches. In Stock.
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Generative Adversarial Networks for Cybersecurity: : Protecting Data and Networks
Lingua: Inglese
Editore: Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
EUR 142,94
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Da: Kennys Bookstore, Olney, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Prima edizione
EUR 277,56
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Aggiungi al carrelloCondizione: New. 2026. 1st Edition. hardcover. . . . . .
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Generative Adversarial Networks for Cybersecurity: (Hardcover)
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:GAN-based securitys ethical and privacy concernsGANs and explainable artificial intelligence (AI)Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)Intrusion detection systems enhanced by GANsGANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity. This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Generative Adversarial Networks for Cybersecurity:
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 136,71
Spedizione EUR 5,75
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Generative Adversarial Networks for Cybersecurity: (Hardcover)
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 120,97
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:GAN-based securitys ethical and privacy concernsGANs and explainable artificial intelligence (AI)Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)Intrusion detection systems enhanced by GANsGANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity. This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Generative Adversarial Networks for Cybersecurity: (Hardcover)
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041098014 ISBN 13: 9781041098010
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 190,88
Spedizione EUR 31,86
Spedito da Australia a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:GAN-based securitys ethical and privacy concernsGANs and explainable artificial intelligence (AI)Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)Intrusion detection systems enhanced by GANsGANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity. This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
