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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

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41-50 of 2575 results in All results

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.

Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disorders

  • 1st Edition
  • November 22, 2024
  • Valentina Rapozzi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 5 - 6
Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disorders presents updated information on the chemistry, signaling of newly derived therapeutic nitric oxide donors/inhibitors, and their complexes in liposomes or nanospheres in both pre-clinical and clinical investigations.The book consists of the following: The program and abstracts presented at the Third International Conference in Udine, Italy, September 3-5, 2023; Parts I-V reviews on (I) the general properties of nitric oxide in diseases (II) the role of nitric oxide in cancer (III) nitric oxide and immunity (IV) nitric oxide and aging and (V) nitric oxide and therapeutics. In addition, part VI is an educational review on artificial intelligence and its application in diseases. These updated reviews present many examples of research investigations related to the application of novel therapeutic compounds on nitric oxide and new derivatives, as well as their significant therapeutic activities against various resistant cancers that are unresponsive to current treatments and in different inflammatory diseases.The book is a valuable resource for cancer researchers, oncologists, graduate students, and investigators from medical and biomedical fields who want to learn more about NO and its therapeutic applications in cancer and inflammatory diseases. The book is also highly useful for both clinicians and oncologists as well as pharmaceutical companies involved in the development of new anticancer/anti-inflammatory agents.

IoMT Applications in Healthcare 5.0

  • 1st Edition
  • November 22, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 0 1 5 7 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 0 1 5 8 - 2
IoMT Applications in Healthcare 5.0 introduces the concept of Healthcare 5.0, emphasizing the transformative potential of intelligent diagnosis, remote treatment, and smart health management. Sections define IoMT and its multi-tiered architecture, discussing its pivotal role in improving electronic device productivity in healthcare, explore IoMT applications in Healthcare 5.0, discuss remote physical therapy using IoMT in Healthcare 5.0, delve into the security and privacy considerations of IoMT in healthcare, and address how to overcome challenges and future directions in IoMT. The book concludes by summarizing key findings, providing a comprehensive overview of the discussed topics.Written by experts in the field, this is a key text for Biomedical Engineers, Data Scientists, and IoT Developers and specialists who work in the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences will also find this an invaluable resource.

Empowering IoT with Big Data Analytics

  • 1st Edition
  • November 20, 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.

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 aspecialized and dedicated reference on miniature robots and their related biomedicalapplications. This book presents the latest achievements in the research of miniaturerobotics and introduces a variety of miniature robots on the milli-/micro-/nano-scale, withtethered/untethered and individual/swarm designs, describing the various types andanalyzing 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 miniaturerobots and related biomedical applications.

The Role of Blockchain in Disaster Management

  • 1st Edition
  • November 1, 2024
  • Ayan Kumar Das + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 7 2 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 7 3 - 9
The Role of Blockchain in Disaster Management explores the architecture and implementation of existing blockchain-based IoT frameworks for the detection and prevention of disasters, along with the management of relative supply chains to protect against mismanagement of essential materials. The distributed nature of Blockchain helps to protect data from internal or external attacks, especially in disaster areas or times of crisis when database systems become overloaded and vulnerable to unauthorized access, manipulation, and disruption of critical services. This book can be used as a reference by graduate students, researchers, professors, and professionals in computer science, software design, and disaster management.

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.

Intelligent Biomedical Technologies and Applications for Healthcare 5.0

  • 1st Edition
  • Volume 16
  • November 1, 2024
  • Lalit Garg + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 0 3 8 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 0 3 9 - 5
Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medical Things, intelligent healthcare systems, and extended health intelligence (EHI). This volume contains four sections. The focus of the first section is health data analytics and applications. The second section covers research on information exchange and knowledge sharing. The third section is on the Internet of Things (IoT) and the Internet of Everything (IoE)-based solutions. The final section focuses on the implementation, assessment, adoption, and management of healthcare informatics solutions.This new volume in the Advances in Ubiquitous Sensing Applications for Healthcare series focuses on innovative methods in the healthcare industry and will be useful for biomedical engineers, researchers, and students working in interdisciplinary fields of research. This volume bridges these newly developing technologies and the medical community in the rapidly developing healthcare world, introducing them to modern healthcare advances such as EHI and Smart Healthcare Systems.

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