9781032456072 - artificial intelligence technology in healthcare: security and privacy issues (advances in smart healthcare technologies) (10 resultados)
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New.
Artificial Intelligence Technology In Healthcare: Security And Privacy Issues
Sharma, Neha (Editor)/ Srivastava, Durgesh (Editor)/ Sinwar, Deepak (Editor)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 111,65
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Paperback. Condición: Brand New. 312 pages. 6.00x0.69x9.00 inches. In Stock.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 85,54
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Condición: New. Neha Sharma is working as Assistant Professor in Department of Computer Science and Engineering in Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She has received the M.Tech.(CSE), Ph.D.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 115,00
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Taschenbuch. Condición: Neu. Neuware - Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients' privacy and data security including data breaches in healthcare organizations, unauthorized access to patients' information, and medical identity theft. It explains recent…breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: - Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. - Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. - Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. - Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. - Illustrates initiatives for research in smart computing for advanced healthcare management systems. This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 60,06
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Paperback. Condición: new. Paperback. Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients privacy and data security including data breaches in healthcare organizations, unauthorized access to patients information, and medical identity theft. It explains recent bre…akthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems.This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering. This book explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across healthcare applications. 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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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 58,53
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Paperback. Condición: new. Paperback. Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients privacy and data security including data breaches in healthcare organizations, unauthorized access to patients information, and medical identity theft. It explains recent bre…akthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems.This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering. This book explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across healthcare applications. 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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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 98,93
Envío por EUR 32,42Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients privacy and data security including data breaches in healthcare organizations, unauthorized access to patients information, and medical identity theft. It explains recent bre…akthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems.This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering. This book explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across healthcare applications. 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.
