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Books in Computer science

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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 tethered miniature robots and their related collective behaviors. The 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. Clinicians, academicians, healthcare professionals, researchers, students, engineers, and scientists working in the field of medical miniature robots and related biomedical applications will benefit from the knowledge presented in this book.Robotic technology helps the medical field realize new surgical procedures and medical treatments that were previously unachievable. Innovative technologies like medical robotics will continue to improve the performance of minimally invasive interventions, allowing more accessible surgical treatments. With the advancement of robotic technologies across the scales, novel robotic-assisted surgical procedures and therapeutic interventions are revolutionizing medical diagnosis and treatment solutions, which enable and enhance visualization, accessibility, and accuracy for surgeons to carry out minimally invasive interventions that benefit medical doctors and patients worldwide.

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.

Medical Oncology Compendium

  • 1st Edition
  • November 1, 2024
  • Ramon Andrade B de Mello
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 0 9 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 0 8 - 3
Medical Oncology Compendium discusses several important topics in oncology with the help of leading experts worldwide who incorporate not only knowledge on recent developments in the field, but contextualize them within diverse socioeconomic environments to guarantee the applicability of the content in challenging scenarios. The book comprehensively discusses topics such as surgery, radiology, carcinogenesis, screening, assessment tools, evidence-based medicine, and precision oncology as applicable to different cancer types as non-small and small cell lung cancer, mesothelioma, breast cancer, gastric-rectal cancer, female specific cancers, prostate, skin and bone sarcomas.In addition, it discusses options to minimize oncology pain and palliative care. It is a valuable resource for oncologists, clinicians, researchers, healthcare workers and members of biomedical field who needs to understand more about diagnosis, treatment options and support for cancer patients.

Computational Tools for Energy Harvesting Applications

  • 1st Edition
  • November 1, 2024
  • Abhishek Sharma + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 6 0 6 0 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 6 0 6 1 - 5
Computational Tools for Energy Harvesting Applications presents the latest applications of energy harvesting methods for renewable energy systems. The book provides readers with the computational tools and algorithms for energy harvesting, explaining the mathematical basis behind their development and application and analyzing the latest developments. Each chapter provides a review of the fundamentals and basic theory behind each energy harvester, the working principles, and the latest practical applications.The mathematical techniques and computational tools are provided for response analysis and optimization of diverse energy harvesters, including from fixed renewable energy systems – wind, solar, etc. – and portable devices such as PEM fuel cells. This is a valuable reference for students and researchers working in the field of renewable energy harvesting and its application, as well as electrical and mechanical engineers.

Primer to Neuromorphic Computing

  • 1st Edition
  • November 1, 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.

Artificial Intelligence in Medical Robotics

  • 1st Edition
  • November 1, 2024
  • Mohamed Tounsi
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 5 3 0 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 5 3 1 - 5
Artificial Intelligence in Medical Robotics introduces novel ideas in medical robotics, focusing on applications of robots in surgery, nano-robotics, soft robots, and AI-enabled robots in the healthcare industry. The book also explores ethics and bias in the automation of healthcare, detailing the advance of AI for healthcare automation, robotic reinforcement learning, human-centered navigation, robotics, and visualization for ophthalmic surgery, automation in eye surgery, human-machine perception, interaction in surgery, and the most recent advances and challenges in assistive and surgical robots in healthcare.This book will be a great source of information for researchers and academics in artificial intelligence, robotics, automation in healthcare, and autonomy in systems.

Human-Centred Metaverse

  • 1st Edition
  • November 1, 2024
  • Chang S. Nam + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 9 9 6 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 9 9 7 - 9
Human-centered Metaverse: Concepts, Methods, and Applications is a valuable resource in the understanding of the metaverse and the factors that influence human-AI interaction. It provides an up-to-date repository of theory, fundamentals, techniques, and diverse applications and comprehensively addresses the recent and rapid changes in the field of human-centred metaverse.Interest in the human-centred metaverse has grown enormously, including from researchers and practitioners in the areas of extended reality (e.g., VR, AR, MR, etc.), learning technologies, human-computer interaction, education, psychology and sociology, and philosophy.

Intelligent Biomedical Technologies and Applications for Healthcare 5.0

  • 1st Edition
  • Volume 17
  • 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 Seventeen 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.

Machine Learning for Low-Latency Communications

  • 1st Edition
  • November 1, 2024
  • Yong Zhou + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 0 7 3 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 0 7 4 - 6
Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency. In addition, applying advanced signal processing techniques demands high processing latency. As these challenges cannot be effectively tackled by traditional design methods, there is a need for the wide adoption of powerful deep learning techniques that have the potential to achieve automatic structure extraction, thereby effectively supporting low-latency communications.Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods, via algorithm unrolling and multiarmed bandit, for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission. Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge.

Integrated Sensing and Communications for Future Wireless Networks

  • 1st Edition
  • November 1, 2024
  • Aryan Kaushik
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 1 4 3 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 1 4 4 - 6
Integrated Sensing and Communications for Future Wireless Networks: Principles, Advances and Key Enabling Technologies presents the principles, methods, and algorithms of ISAC, an overview of the essential enabling technologies, as well as the latest research and future directions. Suitable for academic researchers and post graduate students as well as industry R&D engineers, this book is the definitive reference in this interdisciplinary field that is being seen as a technology to enable emerging applications such as vehicular networks, environmental monitoring, remote sensing, IoT, smart cities.Importantly, ISAC has been identified as an enabling technology for B5G/6G, and the next-generation Wi-Fi system. ISAC brings together a range of technologies: radar sensing, reconfigurable intelligent surfaces, holographic surfaces through to high frequency terahertz, PHY security, channel signaling, multiple access, and machine learning.