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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

    • Tcl/Tk

      • 4th Edition
      • February 15, 2026
      • Clif Flynt
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 5 5 6 3
      • eBook
        9 7 8 0 4 4 3 2 6 5 5 7 0
      Tcl/Tk: A Developer's Guide, Fourth Edition is an essential resource for computer professionals, from systems administrators to programmers. It covers new Tcl features, expanded Tcl-OO coverage, web technology using Rivet and SQLite, and AI integration with AWS. The book also delves into Tcl's standard tools, multi-faceted nature, and extensibility, making it ideal for developing GUIs, client/server middleware, and web applications. Readers will quickly learn to code in Tcl and extend its capabilities with the inclusion of numerous code examples and case studies.The updated edition includes over 150 pages on the latest Tcl extensions, proven techniques, and tools for effective programming. Extensive code snippets and online tutorials enhance understanding, while case studies provide practical insights. The book also discusses Tcl's role as the hidden "secret sauce" in commercial applications, highlighting its graphics and control infrastructure. With a vibrant user community and evolving API, Tcl/Tk remains a powerful and versatile programming platform for both beginners and experienced programmers.

    • Advanced Intelligence Methods for Data Science and Optimization

      • 1st Edition
      • April 1, 2026
      • Amir Hossein Gandomi + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 9 4 0 8
      • eBook
        9 7 8 0 4 4 3 2 8 9 4 1 5
      Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains.It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.

    • Digital Business Transformation in Healthcare

      • 1st Edition
      • April 1, 2026
      • Michael Mutingi
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 4 0 8 5
      • eBook
        9 7 8 0 4 4 3 3 3 4 0 9 2
      Digital Business Transformation in Healthcare: Advances, Models, Strategies and Frameworks provides a comprehensive view of digital transformation, outlining challenges and barriers while emphasizing critical success factors for healthcare digital transformation. The book introduces healthcare readiness and maturity models, enabling healthcare systems to choose appropriate roadmaps for digital transformation. By utilizing these models, healthcare providers can select effective and sustainable strategies for their digital transformation journey, avoiding the negative impacts of fragmented technology adoption. It is designed for both professionals already immersed in the healthcare industry and those seeking advanced knowledge in digital business transformation within healthcare.

    • Mastering DevOps

      • 1st Edition
      • April 1, 2026
      • Chinmaya Kumar Dehury + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 0 3 2 7
      • eBook
        9 7 8 0 4 4 3 4 5 0 3 3 4
      Mastering DevOps: A Cloud Engineering and Data Science Perspective addresses the challenge of understanding and implementing DevOps in an era of rapid technological advancement, where cloud-based infrastructure and data science applications have become integral to many organizations. The book covers the specific requirements of these fields, such as scalability, automation, and managing large-scale data and containerized applications. Mastering DevOps offers readers the knowledge and skills necessary to build, deploy, and manage DevOps practices effectively within the context of cloud engineering and data science. The book focuses on DevOps principles while integrating core technologies such as cloud computing, microservices, and continuous integration/continuo... delivery (CI/CD). Additionally, the book provides coverage of a DevOps approach tailored to data science by covering recent advancements and explaining their relevance in a DevOps environment. The structure of the book is divided into four units, each progressively building on the concepts of the previous one. The first unit (Unit 1: Foundations of DevOps) provides the fundamental principles of DevOps, including its history, planning, and essential tools like Git. The second unit (Unit 2: Core Technologies and Architectures) introduces the core technologies and architectures that power modern DevOps, such as microservices, cloud computing, and containerization. The third unit (Unit 3: CI/CD Practices and Automation) focuses on the practical implementation of DevOps, exploring key practices like continuous integration, automation, and monitoring. Finally, the fourth unit (Unit 4: Advanced Topics and Data Science Perspective) delves into advanced topics and future trends, such as deployment strategies and the extension of DevOps principles to data science and other narrowed-down domains.

    • Cybersecurity for Healthcare Systems in the Internet of Medical Things Era

      • 1st Edition
      • March 2, 2026
      • Janmenjoy Nayak + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 4 4 8 0
      • eBook
        9 7 8 0 4 4 3 2 7 4 4 9 7
      Cybersecurity for Healthcare Systems in the Internet of Medical Things Era is driven by the imperative to address the intricate convergence of healthcare, technology, and security. In response to the burgeoning challenges presented by the Internet of Medical Things (IoMT), this book is designed to be an indispensable resource for computer systems experts, healthcare staff, and executives. It goes beyond the surface, offering strategic insights and actionable strategies that encompass not only the IoMT landscape but also the intersection of artificial intelligence, signal processing, and cyber security. Cybersecurity for Healthcare Systems in the IoMT Era serves as a problem-solving compass for a diverse readership in the healthcare landscape. For healthcare professionals and IT leaders, the book untangles the complexities of integrating and securing Internet of Medical Things (IoMT) devices, offering a roadmap for understanding and navigating this rapidly evolving terrain. Biomedical engineers, burdened with strategic and everyday decisions, find in this book strategic insights and actionable strategies, empowering them to make informed choices amidst the ever-changing challenges posed by technology and cybersecurity threats. The authors present a comprehensive guide that not only elucidates the challenges and opportunities presented by IoMT but also explores how the synergy of AI and signal processing can elevate healthcare systems. This integration is crucial in deciphering the intricate nuances of medical data, enhancing diagnostics, and fortifying the security of interconnected healthcare networks.

    • Digital Twins for Sustainable Development

      • 1st Edition
      • April 1, 2026
      • Valentina Emilia Balas + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 3 8 8 9
      • eBook
        9 7 8 0 4 4 3 2 7 3 8 9 6
      Digital Twins for Sustainable Development covers digital twins for sustainability as a virtual representation of a physical system or environment, such as a building, city, or natural ecosystem and how they are used to support sustainable development and management practices. The book demonstrates how data from a variety of sources, such as sensors, satellite imagery, and other monitoring tools can be used for advanced analytics and modeling techniques to simulate the system's behavior over time. This allows researchers and professionals in computer science to manage complex systems and promote sustainable development and resource management practices.

    • Metaconstructs

      • 1st Edition
      • March 1, 2026
      • Chiranji Lal Chowdhary + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 6 7 8 2
      • eBook
        9 7 8 0 4 4 3 4 0 6 7 9 9
      Digital twins integrate IoT, artificial intelligence, machine learning, and analytics with a graphic and/or spatial representation to make animate digital simulation models that can change and develop as their physical counterpart does. A digital twin learns and updates itself continuously using real-time data from sensors on the physical asset to represent operating, environmental, and working conditions in near real-time.The metaverse technology represents a comprehensive virtual world, where everything and everyone interacts similarly to what we would do in the real world. The concept of metaverse has gained a lot of prominence after several cryptocurrency networks adopted the technology. With the metaverse technology, a virtual reality becomes a persistent virtual environment that exists even when you are not engaging with it.The digital twin in IoT (Internet of things) and the metaverse are the next big step in our technological evolution as these two technologies continue to shorten the gap between the human and the digital world. MetaConstructs: The Evolution of Digital Twins in the Metaverse Era provides information on emerging fields of next-generation digital twins with a special emphasis on emerging developments and applications of the metaverse, IoT, artificial intelligence, deep learning techniques, virtual reality, augmented reality, internet of medical things (IoMT), optimization techniques, decision making, and cloud computing.The book provides a conceptual framework and roadmap for decision-makers for this transformation. It can be useful for undergraduate and postgraduate students who have studied artificial intelligence, federated learning, ML/DL, computational intelligence, IoT, cloud computing, and genetic algorithms in their academic curriculum. This book will be useful for students to develop and deploy their skills to achieve a thorough knowledge of analytics and in-depth education experience to focus on their unique interests. Acknowledging the huge demands of professionals in the industry today, this book has been designed to create trained Computer Science graduates to fulfil the requirements of the industry.

    • Digital Outcasts

      • 2nd Edition
      • April 1, 2026
      • Kel Smith
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 7 7 5
      • eBook
        9 7 8 0 4 4 3 3 3 6 7 8 2
      The blind person attempting to make an online purchase. The young girl who cannot speak due to a cognitive disability. The man confined to his home due to permanent injury. The single mother with a long-term illness who struggles to feed her family. The neurodivergent jobseeker trying to launch their career. Digital access to employment, education, healthcare, companionship and security are essential in today’s world. With one in six people worldwide currently living with some form of a disability, the term "outcast" covers a wide continuum of critical life impacts. As the number of people with disabilities increases, poorly designed products and services risk alienating this important and growing population. “Digital outcasts” is a term used to describe those left behind the technological curve, due either to a lack of accessibility or the social, economic, and political attributes often associated with disability. Through a grass roots approach to innovation, however, digital outcasts are taking action to transform their lives, homes, and communities. The legacy of human-computer interaction is scaffolded upon the efforts of the disenfranchised user, evinced by the role disability has historically played as a catalyst for design innovation. Citing real-world case studies spanning law, healthcare, creative arts, and social science, Digital Outcasts 2e examines the emergent cultural impact of inclusive design on today’s industrial landscape. Taking into account new legal and technological perspectives, this revision stands as an update on the progress we’ve made—and how far we’ve yet to go.

    • Digital Design using VerilogHDL

      • 1st Edition
      • April 1, 2026
      • Shilpi Birla + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 0 8 8 6
      • eBook
        9 7 8 0 4 4 3 2 9 0 8 9 3
      Digital Design using VerilogHDL: VLSI Modeling, Coding and Verification covers the concepts of digital logic design, including, logic simplification and optimization for digital circuit synthesis and implementation, design and integration of logics (combinational and sequential) in the building of digital circuits and systems, the practical aspects of number systems, the use of VerilogHDL in the logic design, testbench verification, and the synthesis of digital circuits and systems with HDL code examples. Users will find an approach to the design, integration, verification, and synthesizing of a digital logic circuit, complete with coding examples.

    • Digital Transformation in Artificial Systems

      • 1st Edition
      • February 1, 2026
      • Mirko Farina + 3 more
      • English
      Digital Transformation in Artificial Systems: Engineering Requirements and Political, Economic, and Philosophical Challenges is a groundbreaking work that scrutinizes the engineering necessities, political ramifications, and ethical dilemmas associated with the digital transformation, particularly within Artificial Systems. This transformative concept, which involves leveraging technological advancements to redefine operations and processes, is explored through an interdisciplinary lens, incorporating insights from computer science, engineering, philosophy, economy, and sociology. The book advocates for an inclusive digital transformation that addresses the global digital divide and promotes cooperation in digitization, industrialization, and innovation.It emphasizes the importance of understanding ethical challenges and developing fair policies that enhance human flourishing, social harmony, and moral good. The interdisciplinary framework provided by the authors offers essential insights into the forthcoming AI revolution and its societal impact.

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