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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.

BooksJournals

    • Theory of Structured Parallel Programming

      • 1st Edition
      • April 26, 2024
      • Yong Wang
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 8 1 4 6
      • eBook
        9 7 8 0 4 4 3 2 4 8 1 5 3
      Theory of Structured Parallel Programming is a comprehensive guide to structured parallel programming corresponding to traditional structured sequential programming. The book provides readers with comprehensive coverage of theoretical foundations of structured parallel programming, including analyses of parallelism and concurrency, truly concurrent process algebras, building block-based structured parallel programming, modelling and verification of parallel programming language, modelling and verification of parallel programming patterns, as well as modeling and verification of distributed systems.There have been always two ways to approach parallel computing: one is the structured way, and the other is the graph-based (true concurrent) way. The structured way is often based on the interleaving semantics, such as process algebra CCS. Since the parallelism in interleaving semantics is not a fundamental computational pattern (the parallel operator can be replaced by alternative composition and sequential composition), the parallel operator often does not occur as an explicit operator, such as in the mainstream programming languages C, C++, Java, et al.

    • Antivirus Engines

      • 1st Edition
      • October 21, 2024
      • Paul A. Gagniuc
      • 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 offers an in-depth exploration of the core techniques employed in modern antivirus software. It provides a thorough technical analysis of detection methods, algorithms, and integration strategies essential for the development and enhancement of antivirus solutions. The examples provided are written in Python, showcasing foundational, native implementations of key concepts, allowing readers to gain practical experience with the underlying mechanisms of antivirus technology.The text covers a wide array of scanning techniques, including heuristic and smart scanners, hexadecimal inspection, and cryptographic hash functions such as MD5 and SHA for file integrity verification. These implementations highlight the crucial role of various scanning engines, from signature-based detection to more advanced models like behavioral analysis and heuristic algorithms. Each chapter provides clear technical examples, demonstrating the integration of modules and methods required for a comprehensive antivirus system, addressing both common and evolving threats.Beyond simple virus detection, the content illustrates how polymorphic malware, ransomware, and state-sponsored attacks are tackled using multi-layered approaches. Through these examples, students, researchers, and security professionals gain practical insight into the operation of antivirus engines, enhancing their ability to design or improve security solutions in a rapidly changing threat environment.

    • Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disorders

      • 1st Edition
      • November 14, 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: Third International Conference on Therapeutic Application 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 preclinical and clinical investigations.This 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 review 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 disorders.This 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. This book is also highly useful for both clinicians and oncologists as well as pharmaceutical companies involved in the development of new anticancer/antiinfla... agents.

    • Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants

      • 1st Edition
      • October 15, 2024
      • Marvellous Moyo + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 8 3 0 6
      • eBook
        9 7 8 0 4 4 3 2 4 8 3 1 3
      Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages—this adds a new dimension of research on medical device implants that can be a game changer for the AI medical implants industry. Researchers, engineers, and graduate students in the elds of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future.

    • Truly Concurrent Process Algebra With Localities

      • 1st Edition
      • August 20, 2024
      • Yong Wang
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 0 6 8 1
      • eBook
        9 7 8 0 4 4 3 3 3 0 6 9 8
      Truly Concurrent Process Algebra with Localities introduces localities into truly concurrent process algebras. The book explores all aspects of localities in truly concurrent process algebras, such as Calculus for True Concurrency (CTC), which is a generalization of CCS for true concurrency, Algebra of Parallelism for True Concurrency (APTC), which is a generalization of ACP for true concurrency, and Π Calculus for True Concurrency (Π). Together, these approaches capture the so-called true concurrency based on truly concurrent bisimilarities, such as pomset bisimilarity, step bisimilarity, history-preserving (hp-) bisimilarity and hereditary history-preserving (hhp-) bisimilarity.This book provides readers with all aspects of algebraic theory for localities, including the basis of semantics, calculi for static localities, axiomatization for static localities, as well as calculi for dynamic localities and axiomatization for dynamic localities.

    • Exploring the Metaverse

      • 1st Edition
      • November 27, 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.

    • Human-Computer Interaction

      • 2nd Edition
      • January 12, 2024
      • I. Scott MacKenzie
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 0 9 6 9
      • eBook
        9 7 8 0 4 4 3 1 4 0 9 7 6
      Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics, including historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, the book progresses to the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success.Throughout the book, readers will find hands-on exercises, checklists, and real-world examples. This is a must-have, comprehensive guide to empirical and experimental research in HCI – an essential addition to your HCI library.

    • Fuzzy Methods for Assessment and Decision Making

      • 1st Edition
      • October 8, 2024
      • Michael Gr. Voskoglou
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 7 3 2 4
      • eBook
        9 7 8 0 4 4 3 2 3 7 3 3 1
      Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author’s research work on the subject for more than 20 years. In particular, a hybrid assessment model uses the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets, and soft sets as tools. The book starts with the basic mathematical background that is needed for an understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index.The book presents innovative fuzzy assessment methods, enabling readers to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group’s skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal.

    • Artificial Intelligence for Medicine

      • 1st Edition
      • March 14, 2024
      • Shai Ben- David + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 6 7 1 9
      • eBook
        9 7 8 0 4 4 3 1 3 6 7 2 6
      Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field.This book will be beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field.

    • Distributed Optimization and Learning

      • 1st Edition
      • July 18, 2024
      • Zhongguo Li + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 6 3 6 7
      • eBook
        9 7 8 0 4 4 3 2 1 6 3 7 4
      Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics