Blessie chandra (32 risultati)
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Da: INDOO, Avenel, NJ, U.S.A.INDOO
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Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Chelliah, Pethuru Raj; Blessie, E. Chandra (EDT); Sundaravadivazhagan, B. (EDT); Evangeline, Preetha (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 104,95
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Condizione: New.
Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Chelliah, Pethuru Raj; Blessie, E. Chandra (EDT); Sundaravadivazhagan, B. (EDT); Evangeline, Preetha (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 113,11
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Condizione: As New. Unread book in perfect condition.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 110,70
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 117,44
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 104,87
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Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 125,73
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Hardcover. Condizione: new. Hardcover. A detailed guide to building cutting-edge recommendation systems In Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits, a team of experienced technologists and educators, each with a proven track record in the field,…delivers an expert guide to building robust recommendation systems that can interface with complex databases. The authors deep understanding of the subject matter is evident as they explain how to use the latest AI technologies, including LLMs, graph neural networks, diffusion models, and generative adversarial networks, to create recommendation engines that users enjoy and that drive business revenue. The book does not just delve into theoretical concepts, but also connects them to advanced implementation techniques. It demonstrates the application of practical and adaptable techniques, such as graph embeddings and Bayesian networks, to solve real-world problems faced by platform users and businesses. Readers will find the knowledge and tools to tackle these challenges head-on. Comprehensive coverage of practical generative AI techniques, including large language models and diffusion models Detailed exploration of graph neural networks and knowledge graph embeddings to solve common recommendation engine problems Practical guidance on implementing generative adversarial networks and variational autoencoders to address mode collapse and information bottleneck challenges In-depth analysis of hybrid recommendation architectures that combine content-based, collaborative, and knowledge-based filtering Real-world deployment strategies using cloud-native computing environments are not just theoretical concepts in this book. They are actionable strategies that have been tested and proven effective. This emphasis on real-world applicability will reassure readers about the books relevance to their professional or academic pursuits. Perfect for data scientists, AI specialists, software engineers, architects, and graduate students, Next-Generation Recommendation Systems is an essential, up-to-date resource for everyone involved in the design, deployment, and optimization of recommendation systems that connect to large, complex datasets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Chelliah, Pethuru Raj; Blessie, E. Chandra (EDT); Sundaravadivazhagan, B. (EDT); Evangeline, Preetha (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 110,69
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Condizione: New.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 128,89
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Condizione: New.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 137,32
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Condizione: New.
Next-generation Recommendation Systems : A Comprehensive Guide to Enabling Technologies and Tools and Their Business Benefits
Chelliah, Pethuru Raj; Blessie, E. Chandra (EDT); Sundaravadivazhagan, B. (EDT); Evangeline, Preetha (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 119,97
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Condizione: As New. Unread book in perfect condition.
Generative Adversarial Networks for Cybersecurity : Protecting Data and Networks
Chandra Blessie, E. (EDT); Raj, Pethuru (EDT); Sundaravadivazhagan, B. (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 120,95
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Condizione: As New. Unread book in perfect condition.
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Da: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
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EUR 145,33
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Condizione: New. Brand new! Please provide a physical shipping address.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 146,32
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Condizione: New.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 146,17
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Condizione: New.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 146,23
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Condizione: New.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 156,73
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Hardcover. Condizione: Brand New. 368 pages. 6.40x1.60x9.10 inches. In Stock.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 160,83
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Hardcover. Condizione: Brand New. 368 pages. 6.40x1.60x9.10 inches. In Stock.
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Da: moluna, Greven, Germaniamoluna
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EUR 135,37
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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.
Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks
Chandra Blessie, E. (Editor)/ Raj, Pethuru (Editor)/ Sundaravadivazhagan, B. (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 179,78
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Hardcover. Condizione: Brand New. 264 pages. 9.18x6.12x9.45 inches. In Stock.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 215,96
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Hardcover. Condizione: new. Hardcover. A detailed guide to building cutting-edge recommendation systems In Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits, a team of experienced technologists and educators, each with a proven track record in the field,…delivers an expert guide to building robust recommendation systems that can interface with complex databases. The authors deep understanding of the subject matter is evident as they explain how to use the latest AI technologies, including LLMs, graph neural networks, diffusion models, and generative adversarial networks, to create recommendation engines that users enjoy and that drive business revenue. The book does not just delve into theoretical concepts, but also connects them to advanced implementation techniques. It demonstrates the application of practical and adaptable techniques, such as graph embeddings and Bayesian networks, to solve real-world problems faced by platform users and businesses. Readers will find the knowledge and tools to tackle these challenges head-on. Comprehensive coverage of practical generative AI techniques, including large language models and diffusion models Detailed exploration of graph neural networks and knowledge graph embeddings to solve common recommendation engine problems Practical guidance on implementing generative adversarial networks and variational autoencoders to address mode collapse and information bottleneck challenges In-depth analysis of hybrid recommendation architectures that combine content-based, collaborative, and knowledge-based filtering Real-world deployment strategies using cloud-native computing environments are not just theoretical concepts in this book. They are actionable strategies that have been tested and proven effective. This emphasis on real-world applicability will reassure readers about the books relevance to their professional or academic pursuits. Perfect for data scientists, AI specialists, software engineers, architects, and graduate students, Next-Generation Recommendation Systems is an essential, up-to-date resource for everyone involved in the design, deployment, and optimization of recommendation systems that connect to large, complex datasets. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 242,68
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Condizione: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 187,22
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Buch. 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.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 security's ethical and privacy concerns - GANs and explainable artificial intelligence (AI) - Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL) - Intrusion detection systems enhanced by GANs GANs 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.
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- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 277,56
EUR 10,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 13 disponibili
Condizione: New. 2026. 1st Edition. hardcover. . . . . .
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 107,32
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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 m…odels 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.
