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Books in Artificial intelligence

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1-10 of 523 results in All results

The Digital Doctor

  • 1st Edition
  • January 10, 2025
  • Chayakrit Krittanawong
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 7 2 8 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 4 3 4 4 - 5
The Digital Doctor: How Digital Health Can Transform Healthcare discusses digital health and demonstrates the appropriateness of each technology using an evidence-based approach. It serves as a comprehensive summary on current, evidence-based digital health applications, future novel digital health technologies (e.g., mobile health, blockchain, web3.0), as well as some of the current challenges and future directions for digital health within the various medical subspecialties. This book is a comprehensive review of digital health for clinicians, researchers, bioinformatic students, biomedical engineers interested in this topic.

Interdependent Human-Machine Teams

  • 1st Edition
  • January 1, 2025
  • William Lawless + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 2 4 6 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 2 4 7 - 7
Interdependent Human-Machine Teams: The Path to Autonomy examines the foundations, metrics, and applications of human-machine systems, the legal ramifications of autonomy, trust by the public, and trust by the users and AI systems of their users, integrating concepts from various disciplines such as AI, machine learning, social sciences, quantum mechanics, and systems engineering. In this book, world-class researchers, engineers, ethicists, and social scientists discuss what machines, humans, and systems should discuss with each other, to policymakers, and to the public.It establishes the meaning and operation of “shared contexts” between humans and machines, policy makers, and the public and explores how human-machine systems affect targeted audiences (researchers, machines, robots, users, regulators, etc.) and society, as well as future ecosystems composed of humans, machines, and systems.

Biomedical Robots and Devices in Healthcare

  • 1st Edition
  • December 2, 2024
  • Faiz Iqbal + 3 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 2 2 2 0 6 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 0 7 - 8
Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in healthcare and biomedical engineering, offering insights and guidance to researchers, professionals, and graduate students interested in this area. The book covers key topics such as the current state-of-the-art in biomedical robotics and devices, the role of emerging technologies like artificial intelligence and machine learning, rehabilitation robotics, and the optimization techniques for optimal design and control. The book concludes by exploring the potential future developments and trends in the field of biomedical robotics and devices and their healthcare implications.

Urban Computing and Artificial Intelligence

  • 1st Edition
  • December 1, 2024
  • Ansar Khan + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 1 6 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 1 6 9 - 0
Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation is the first full synthesis of modern scientific and applied research on climate change, urban warming, and the future of resilient cities. The book helps city governments better understand how to plan for the effects of climate change and impending natural disasters. It compiles the concepts, strategies, and technologies associated with resilient cities, and provides an outline of what constitutes climate change and its behavior relating to urban systems. Finally, the book develops a comprehensive concept for the future resiliency of cities related to hydro-climatology and extreme events.Next, it explains the physical principles governing the formation of distinct hydro-climatology and resilient cities, and then illustrates how this knowledge can be applied to moderate the undesirable consequences of swift and haphazard urban development (energy, peak electricity demand, health, comfort, economy, and environment) and help to create more sustainable and resilient cities for the future. With urban climate science now a fully-fledged growing field, this timely book fulfils the need to bring together the disparate parts of urban climate research in global cities into a coherent framework. It is an ideal resource for students, researchers, and policymakers in the fields of urban climate, urban architecture and planning, environmental engineering, urban design, and redevelopment.

Federated Learning for Medical Imaging

  • 1st Edition
  • December 1, 2024
  • Xiaoxiao Li + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 6 4 1 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 6 4 2 - 6
Federated Learning for Medical Imaging: Principles, Algorithms and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL. It shows how FL allows multiple medical institutes to collaboratively train and use a precise machine learning (ML) model without sharing private medical data via practical implantation guidance. The book includes real-world case studies and applications of FL, demonstrating how this technology can be used to solve complex problems in medical imaging.In addition, it provides an understanding of the challenges and limitations of FL for medical imaging, including issues related to data and device heterogeneity, privacy concerns, synchronization and communication, etc. This is a complete resource for computer scientists and engineers as well as clinicians and medical care policymakers wanting to learn about the application of federated learning to medical imaging.

Trustworthy AI in Medical Imaging

  • 1st Edition
  • December 1, 2024
  • Marco Lorenzi + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 6 1 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 6 0 - 7
Trustworthy AI in Medical Imaging brings together scientific researchers, medical experts, and industry partners working in the field of trustworthiness, bridging the gap between AI research and concrete medical applications and making it a learning resource for undergraduates, masters students, and researchers in AI for medical imaging applications.The book will help readers acquire the basic notions of AI trustworthiness and understand its concrete application in medical imaging, identify pain points and solutions to enhance trustworthiness in medical imaging applications, understand current limitations and perspectives of trustworthy AI in medical imaging, and identify novel research directions.Although the problem of trustworthiness in AI is actively researched in different disciplines, the adoption and implementation of trustworthy AI principles in real-world scenarios is still at its infancy. This is particularly true in medical imaging where guidelines and standards for trustworthiness are critical for the successful deployment in clinical practice. After setting out the technical and clinical challenges of AI trustworthiness, the book gives a concise overview of the basic concepts before presenting state-of-the-art methods for solving these challenges.

Primer to Neuromorphic Computing

  • 1st Edition
  • November 25, 2024
  • Harish Garg + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 4 8 0 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 4 8 2 - 0
Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture.Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains.

Recent Progress in Medical Miniature Robots

  • 1st Edition
  • November 1, 2024
  • Li Zhang + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 3 8 5 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 3 8 6 - 2
Recent Progress in Medical Miniature Robots: From Bench to Bedside serves as a specialized and dedicated reference on miniature robots and their related biomedical applications. This book presents the latest achievements in the research of miniature robotics and introduces a variety of miniature robots on the milli-/micro-/nano-scale, with tethered/untethered and individual/swarm designs, describing the various types and analyzing the underlying principles per class. Recent Progress in Medical Miniature Robots: From Bench to Bedside is suitable for clinicians, academicians, healthcare professionals, researchers, students, engineers, and scientists working in the field of medical miniature robots and related biomedical applications.

Data Analytics for Intelligent Transportation Systems

  • 2nd Edition
  • November 1, 2024
  • Mashrur Chowdhury + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 8 7 8 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 8 7 9 - 9
Data Analytics for Intelligent Transportation Systems, Second Edition provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Other sections provide extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies.All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. In addition, they will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.

Empowering IoT with Big Data Analytics

  • 1st Edition
  • November 1, 2024
  • Mohamed Adel Serhani + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 6 4 0 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 6 4 1 - 1
Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data.

Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems