AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems, Guneet Kaur, Sandeep Kautish

Автор: Anil Saroliya et al.
Название: Internet of things and fog computing-enabled solutions for real-life challenges
ISBN: 1032136316 ISBN-13(EAN): 9781032136318
Издательство: Taylor&Francis
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Цена: 100030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book comprehensively covers smart technologies and their applications that will help during emergency situations in a single volume. It is an ideal text for graduate students, and academic researchers working in diverse engineering fields of electrical, biomedical, electronics and communication, and computer.

Автор: Deepak Gupta
Название: AI-enabled 6G networks and applications /
ISBN: 111981264X ISBN-13(EAN): 9781119812647
Издательство: Wiley
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Цена: 95040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is for researchers and students in statistics, data mining, computer science, machine learning, marketing and also practitioners who implement recommender systems. It provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and state-of-the-art solutions in personalization, explore/exploit, dimension reduction and multi-objective optimization.

Автор: Theodoros Anagnostopoulos
Название: IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety
ISBN: 1119903904 ISBN-13(EAN): 9781119903901
Издательство: Wiley
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Цена: 100270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety Enables readers to understand a broad area of state-of-the-art research in physical IoT-enabled security IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety describes new techniques in unobtrusive surveillance that enable people to act and communicate freely, while at the same time protecting them from malevolent behavior. It begins by characterizing the latest on surveillance systems deployed at smart campuses, miniatures of smart cities with more demanding frameworks that enable learning, social interaction, and creativity, and by performing a comparative assessment in the area of unobtrusive surveillance systems for smart campuses. A proposed taxonomy for IoT-enabled smart campus unfolds in five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology.

By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, the book presents the state of the art and then makes a comparative assessment to classify the systems. Finally, the book extracts valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by unobtrusive surveillance systems for smart campuses. IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety includes specific discussion of: Smart campus's prior work taxonomies and classifications, a proposed taxonomy, and an adopted weight scoring model Personal consumer benefits and potential social dilemmas encountered when adopting an unobtrusive surveillance system Systems that focus on smart buildings, public spaces, smart lighting and smart traffic lights, smart labs, and smart campus ambient intelligence A case study of a spatiotemporal authentication unobtrusive surveillance system for smart campus safety and emerging issues for further research directions IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety is an essential resource for computer science and engineering academics, professionals, and every individual who is working and doing research in the area of unobtrusive surveillance systems and physical security to face malevolent behavior in smart campuses.

Автор: Seifi
Название: Haptics: Science, Technology, Applications
ISBN: 3031062485 ISBN-13(EAN): 9783031062483
Издательство: Springer
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Цена: 37260.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book constitutes the proceedings of the 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022, held in Hamburg, Germany, in May 2022. The 36 regular papers included in this book were carefully reviewed and selected from 129 submissions.

Автор: Choi Paul Moon Sub, Huang Seth H.
Название: Fintech with Artificial Intelligence, Big Data, and Blockchain
ISBN: 9813361360 ISBN-13(EAN): 9789813361362
Издательство: Springer
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to recent advancements in financial technologies.

Автор: Gaurav Dhiman, Sandeep Kautish
Название: AI-Enabled Multiple Criteria Decision-Making Approaches for Healthcare Management
ISBN: 1668444054 ISBN-13(EAN): 9781668444054
Издательство: Mare Nostrum (Eurospan)
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Цена: 280890.00 T
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Описание: In practical health care cases, semi-structured and unstructured decision-making issues involve multiple criteria (or goals) that may conflict with each other. Thus, the use of MCDM is a promising source of practical solutions for such problems.

Автор: Choi Paul Moon Sub, Huang Seth H.
Название: Fintech with Artificial Intelligence, Big Data, and Blockchain
ISBN: 9813361395 ISBN-13(EAN): 9789813361393
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book introduces readers to recent advancements in financial technologies.

Автор: Bhattacharyya, Siddhartha
Название: Recent Trends In Computational Intelligence Enabled Research
ISBN: 012822844X ISBN-13(EAN): 9780128228449
Издательство: Elsevier Science
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Цена: 151590.00 T
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Описание: Collins CSEC (R) Human and Social Biology provides a new approach to the study of the CSEC (R) HSB syllabus that focuses on the skills of recalling facts, applying facts and analysing data as needed for the examination and School Based Assessment. It provides the content and skills that students truly need to master to pass - and do well in - the exam.

Автор: Marques Gonзalo, Kumar Bhoi Akash, de la Torre Dнez Isabel
Название: Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing Framework
ISBN: 3030701131 ISBN-13(EAN): 9783030701130
Издательство: Springer
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Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, new applications on computer-aided technologies for telemedicine have emerged. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems.

Автор: Marques Gonзalo, Kumar Bhoi Akash, de la Torre Dнez Isabel
Название: Enhanced Telemedicine and E-Health: Advanced Iot Enabled Soft Computing Framework
ISBN: 3030701107 ISBN-13(EAN): 9783030701109
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, new applications on computer-aided technologies for telemedicine have emerged. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems.

Автор: Pattnaik Prasant Kumar, Mohanty Suneeta, Mohanty Satarupa
Название: Smart Healthcare Analytics in Iot Enabled Environment
ISBN: 3030375536 ISBN-13(EAN): 9783030375539
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.

Автор: Tawseef Ayoub Shaikh
Название: AI-Enabled IoT for Smart Health Care Systems
ISBN: 1685079776 ISBN-13(EAN): 9781685079772
Издательство: Nova Science
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Цена: 182680.00 T
Наличие на складе: Невозможна поставка.
Описание: The book focuses on intelligent computer-aided tools and techniques for early and precise disease diagnosis. Trending topics like deep learning and the internet of things have immense opportunities in healthcare data analytics. So, the contents of the book are targeted mainly at the automated CAD tools for healthcare data analytics. A major portion of the book emphasizes the recent state-of-the-art methodologies, tools, and datasets that are used in healthcare diagnosis, patient monitoring, healthcare recommendation systems, etc.