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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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31-40 of 2559 results in All results

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.

Human-Centered 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 recent and rapid changes in the field of human-centered metaverse. Interest in the human-centered 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 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.

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
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. 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.

Machine Learning Models and Architectures for Biomedical Signal Processing

  • 1st Edition
  • November 1, 2024
  • Suman Lata Tripathi + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 7 - 6
Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques.

Exploring the Metaverse

  • 1st Edition
  • November 1, 2024
  • Deepika Koundal + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 1 3 2 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 1 3 1 - 4
Exploring the Metaverse: Challenges and Applications explores the various applications and challenges facing the metaverse, from privacy and security concerns to questions about the economy and ethical considerations. Drawing on insights from experts in technology, ethics, and economics, the book's authors provide a comprehensive overview of the metaverse and its potential implications. Through a series of engaging essays and thought-provoking case studies, they examine the complex issues facing the metaverse, such as the role of virtual identity, the impact on social interactions, and the potential for addiction. Finally, they explore potential solutions to these challenges, from technological innovations to policy interventions.

IoMT Applications in Healthcare 5.0

  • 1st Edition
  • November 1, 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.

Antivirus Engines

  • 1st Edition
  • November 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 2 9 5 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 2 9 5 3 - 1
Antivirus Engines: From Methods to Innovations, Design, and Applications delves deep into the methods of detection used by antivirus software, providing readers with a comprehensive understanding of how these tools protect digital devices and networks. By demystifying the inner workings of antivirus methods, the book inspires students, researchers, and security professionals to innovate and contribute to the evolving field of cybersecurity. This book also provides a foundational understanding of antivirus solutions' inner workings, setting readers on a path to becoming more informed, vigilant, and proactive in the face of growing cyber threats.The digital landscape has seen an exponential growth in cyber threats over the past few decades. From the early days of basic viruses and worms to today's sophisticated state-sponsored cyberattacks, ransomware, and polymorphic malware, the threat matrix has expanded and evolved. Alongside the rise in cyber threats, the world has experienced a digital transformation with an increasing reliance on the internet for business, communication, and everyday tasks. This convergence of widespread digital adoption and the proliferation of cyber threats underscores the need for robust protective measures. Antivirus software stands as one of the frontline defenses against these threats.

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