Artificial Intelligence and Society 5.0: Issues, Opportunities, and Challenges, Khullar, Vikas ; Sharma, Vrajesh ; Angurala, Mohit

Автор: Ratten, Vanessa (La Trobe University, Australia)
Название: Practical Artificial Intelligence for Internet of Medical Things
ISBN: 1032325275 ISBN-13(EAN): 9781032325279
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.

Автор: Martin Ebers, Paloma Kroot Tupay
Название: Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia
ISBN: 303119666X ISBN-13(EAN): 9783031196669
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Поставка под заказ.
Описание: This book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law. Final conclusions and recommendations set out and analyze various policy options for the public sector, taking into account recent developments at the European level – such as the AIA proposal – as well as the experience of countries that have issued principles and guidelines or even laws for the use of ML in the public sector. “For two reasons, this study is relevant not only for an audience which is interested in Estonian administrative law. First, the authors base their legal analysis primarily on EU law and provide a state of the art-analysis of the relevant secondary legislation. This makes the book a reference text for the European debate on public sector AI governance. Second, this study is part of a larger research project in which four specific use cases of public sector AI have been developed and tested. The practical insights gained in these projects have provided the authors with an excellent understanding of the opportunities and risks of the technology, which distinguishes this legal analysis from similar enterprises.” Excerpt from the foreword by Professor Thomas Wischmeyer (University of Bielefeld)

Автор: Ahad, MD Atiqur Rahman ; Mahbub, Upal ; Turk, Matt
Название: Computer Vision: Challenges, Trends, and Opportunities
ISBN: 1032317051 ISBN-13(EAN): 9781032317052
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Автор: Shi Yuanming, Yang Kai, Yang Zhanpeng
Название: Mobile Edge Artificial Intelligence: Opportunities and Challenges
ISBN: 0128238178 ISBN-13(EAN): 9780128238172
Издательство: Elsevier Science
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Цена: 114530.00 T
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Описание:

Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains.

Автор: Sharaff Aakanksha, Sinha G. R., Bhatia Surbhi
Название: New Opportunities for Sentiment Analysis and Information Processing
ISBN: 1799880621 ISBN-13(EAN): 9781799880622
Издательство: Mare Nostrum (Eurospan)
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Цена: 196810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts.

New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.

Автор: Stachowicz-Stanusch Agata, Amann Wolfgang, Sharma Radha
Название: Principles of Responsible Management Education (PRME) in the Age of Artificial Intelligence (AI) - Opportunities, Threats, and the Way Forward
ISBN: 1648025447 ISBN-13(EAN): 9781648025440
Издательство: Mare Nostrum (Eurospan)
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Цена: 145230.00 T
Наличие на складе: Нет в наличии.
Описание: Authored by a range of international experts, this book brings us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the`right` set of future skills is)?

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801837 ISBN-13(EAN): 9781799801832
Издательство: Mare Nostrum (Eurospan)
Цена: 173190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Автор: Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo
Название: Anomaly Detection as a Service: Challenges, Advances, and Opportunities
ISBN: 1681732424 ISBN-13(EAN): 9781681732428
Издательство: Mare Nostrum (Eurospan)
Цена: 97950.00 T
Наличие на складе: Невозможна поставка.
Описание: Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation.The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.

Автор: Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo
Название: Anomaly Detection as a Service: Challenges, Advances, and Opportunities
ISBN: 1681731096 ISBN-13(EAN): 9781681731094
Издательство: Mare Nostrum (Eurospan)
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Цена: 72070.00 T
Наличие на складе: Невозможна поставка.
Описание: Helps to advance the real-world adoption and deployment of anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats.

Автор: Sathiyamoorthi Velayutham
Название: Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
ISBN: 1799831124 ISBN-13(EAN): 9781799831129
Издательство: Mare Nostrum (Eurospan)
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Цена: 175560.00 T
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Описание: Highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors.

Автор: Sathiyamoorthi Velayutham
Название: Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
ISBN: 1799831116 ISBN-13(EAN): 9781799831112
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 228230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors.