Condition: New.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032851120 ISBN 13: 9781032851129
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems. It includes practical insights into brain network analysis and the dynamics of COVID-19 spread. The guide provides a solid understanding of graphs by exploring different graph representations and the latest advancements in graph learning techniques. It focuses on diverse graph signals and offers a detailed review of state-of-the-art methodologies for analyzing these signals. A major emphasis is placed on privacy preservation, with comprehensive discussions on safeguarding sensitive information within graph structures. The book also looks forward, offering insights into emerging trends, potential challenges, and the evolving landscape of privacy-preserving graph learning. This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare.
Condition: New.
paperback. Condition: New.
Condition: As New. Unread book in perfect condition.
Condition: New.
Paperback. Condition: Brand New. 200 pages. 9.19x6.13x9.21 inches. In Stock.
Condition: New.
Condition: As New. Unread book in perfect condition.
Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. The latest advances in several emerging technologies such as AI, blockchain, privacy-preserving algorithms used in localization and positioning systems, cloud computing and computer vision all have great potential in facilitating social distancing. Benefits range from supporting people to work from home to monitoring micro- and macro- movements such as contact tracing apps using Bluetooth, tracking the movement and transportation level of a city and wireless positioning systems to help people keep a safe distance by alerting them when they are too close to each other or to avoid congestion. However, implementing such technologies in practical scenarios still faces various challenges. This book aims to lay the foundations of how these technologies could be adopted to realize and facilitate social distancing to better manage pandemics and future outbreaks. Starting with basic concepts, models and practical technology-based social distancing scenarios, the authors present enabling wireless technologies and solutions which could be widely adopted to encourage social distancing. They include symptom prediction, detection and monitoring of quarantined people and contact tracing. In the future, smart infrastructures for next-generation wireless systems should incorporate a pandemic mode in their standard architecture and design.
Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Condition: New.
Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
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Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
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Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
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Add to basketCondition: New.
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032851120 ISBN 13: 9781032851129
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems. It includes practical insights into brain network analysis and the dynamics of COVID-19 spread. The guide provides a solid understanding of graphs by exploring different graph representations and the latest advancements in graph learning techniques. It focuses on diverse graph signals and offers a detailed review of state-of-the-art methodologies for analyzing these signals. A major emphasis is placed on privacy preservation, with comprehensive discussions on safeguarding sensitive information within graph structures. The book also looks forward, offering insights into emerging trends, potential challenges, and the evolving landscape of privacy-preserving graph learning. This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare.
Condition: New.
Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by The Institution of Engineering and Technology, 2022
ISBN 10: 1839534907 ISBN 13: 9781839534904
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Language: English
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 118.56
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Language: English
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839538287 ISBN 13: 9781839538285
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