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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

    • Wearable Sensing and Assistive Devices for Robotic Rehabilitation

      • 1st Edition
      • April 1, 2026
      • Wei Meng + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 4 6 3 4
      • eBook
        9 7 8 0 4 4 3 4 0 4 6 4 1
      “Wearable Sensing and Assistive Devices for Robotic Rehabilitation” provides an overview of current research and developments in the field of innovative technologies for advanced wearable sensing and assistive devices in medical rehabilitation. This book presents a systematic investigation of the wearable acquisition and deep learning-based processing of biological signals and the applications with wearable robotic devices. It provides fundamental bio-mechatronics engineering knowledge to analyze and design new wearable sensing and assistive devices. It includes human wearable sensors design and development, biological signals acquisition and processing, brain-computer interface and neuromuscular interfaces, wearable exoskeleton and soft robotic devices, as well as human-centered interactive robot control.

    • The AI Ideal

      • 1st Edition
      • April 1, 2026
      • Niklas Lidströmer
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 9 7 2 7
      • eBook
        9 7 8 0 4 4 3 4 4 9 7 3 4
      The AI Ideal: AIdealism and the Governance of AI reimagines the role artificial intelligence can play in shaping our future. Rather than warning of catastrophe, Lidströmer presents a proactive vision—one where AI strengthens democracy, ethics, and human dignity through a global framework rooted in European Enlightenment ideals, Scandinavian social values, and Swiss direct democracy. His approach, dubbed AIdealism, rejects extreme ideologies and advocates for pragmatic, ethical solutions, aiming to use AI for justice, enlightenment, and the common good. This book calls for action in harnessing AI to create a world that is sustainable, free, and prosperous for all.Far from promising utopia, the book acknowledges the risks AI poses—empowering autocrats, disrupting economies, and threatening human agency. Yet, it argues that with foresight and courage, AI can become a powerful tool for wisdom, fairness, and progress. It offers a practical action plan for using AI to address daily dilemmas, from education and healthcare to climate responsibility, while exploring topics as varied as philosophy, politics, ethics, music, mathematics, and medicine. Ultimately, it serves as a visionary, ethically grounded manifesto for those seeking a constructive roadmap for the AI revolution.

    • Digital Supply Chain Transformation

      • 1st Edition
      • April 1, 2026
      • Vinaytosh Mishra
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 9 9 5 0
      • eBook
        9 7 8 0 4 4 3 3 3 9 9 6 7
      Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions offers an in-depth exploration of how digital innovation is reshaping modern supply chain management. The book seamlessly blends theoretical concepts with practical application, ensuring readers not only grasp fundamental supply chain principles but also see how technologies like machine learning, AI, and system dynamics modeling are transforming the industry. Readers are guided through the evolving landscape of supply chains, learning to harness digital tools and analytics for improved efficiency, accuracy, and end-to-end visibility in operations.This comprehensive resource equips readers to tackle real-world challenges by applying advanced technologies and analytics to supply chain problems. It highlights the growing importance of data-driven decision-making, encourages critical evaluation of strategies and solutions, and anticipates emerging trends and future opportunities. By merging theory with hands-on practice, the book enables professionals to drive innovation and recommend informed improvements in the rapidly advancing field of supply chain management.

    • AI, Blockchain and Social Network on Urban Crisis Management: Leveraging Emerging Technologies for Disaster Response and Resilience in Smart Cities

      • 1st Edition
      • Volume 142
      • April 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 3 1 3 6 8 4
      • eBook
        9 7 8 0 4 4 3 3 1 3 6 9 1
      AI, Blockchain and Social Network on Urban Crisis Management, Volume 142 in the Advances in Computers series, examines how cutting-edge digital technologies are reshaping disaster preparedness and response. This volume highlights the convergence of artificial intelligence, blockchain, and social network analysis to predict, prevent, and manage urban crises. Chapters explore diverse applications, from AI-driven deforestation monitoring in the Colombian Amazon and diffusion modeling for enhanced oil recovery, to blockchain-based citizen voting systems, metaverse-enabled disaster management, and graph-theoretic approaches for resource mobilization. Ethical AI for law enforcement training, social media’s role in disaster resilience, and innovative methods such as YOLO-based pothole detection further showcase how these technologies support sustainable cities and green energy initiatives. Collectively, the volume provides a multidisciplinary perspective on building smarter, safer, and more resilient urban environments.

    • 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 explores the complexities of adopting DevOps in today’s fast-evolving tech landscape, where cloud infrastructure and data-driven solutions are central to business success. The book equips readers with the practical skills and foundational knowledge needed to design, deploy, and manage DevOps processes that address the challenges of scalability, automation, and handling large-scale, containerized applications. By integrating DevOps principles with essential technologies like cloud computing, microservices, and CI/CD pipelines, the text ensures readers gain a comprehensive understanding of modern DevOps practices.Beyond the basics, the book tailors its approach to the unique needs of data science, highlighting recent innovations and their impact within DevOps environments. Structured across four progressive units, the book covers everything from foundational principles and tools to advanced deployment strategies and emerging trends. Readers benefit from a clear roadmap—beginning with DevOps fundamentals, moving through core architectures, CI/CD automation, and concluding with advanced topics and the intersection of DevOps and data science.

    • Computer Animation

      • 4th Edition
      • March 6, 2026
      • Andrew Hogue + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 5 1 2 5
      • eBook
        9 7 8 0 4 4 3 1 3 5 1 3 2
      Computer Animation: Algorithms and Techniques, Fourth Edition surveys computer algorithms and programming techniques for specifying and generating motion for graphical objects, that is, computer animation. It is primarily concerned with three-dimensional (3D) computer animation. In this edition, the most current techniques are covered along with the theory and high-level computation that have earned the book a reputation as the best technically oriented animation resource. As in previous editions, the book addresses practical issues, provides accessible techniques, and offers straightforward implementations.

    • 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.

    • Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices

      • 1st Edition
      • Volume 141
      • March 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 2 2 4 0 1 0
      • eBook
        9 7 8 0 4 4 3 2 2 4 0 2 7
      Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices, Volume 141 in the Advances in Computers series, explores the convergence of artificial intelligence, machine learning, and modern software engineering practices. Chapters in this new release include Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm, Articulating Machine and Deep Learning Models for Next-Generation Software Development, Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering, Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development, and more.Other sections cover Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development, Demystifying the Agentic AI Paradigm for Accelerated Software Engineering, Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation, Generative AI Tools for Accelerated Software Engineering, Empowering Software Engineering Automation through Explainable AI, and much more.

    • Harnessing Artificial Intelligence to Ensure Diverse Global Teams

      • 1st Edition
      • March 1, 2026
      • Harish Garg + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 3 5 9
      • eBook
        9 7 8 0 4 4 3 3 4 1 3 6 6
      Harnessing Artificial Intelligence to Ensure Diverse Global Teams explores new research and applications of AI which can be used to address the distinct challenges of diverse, distributed teams. Incorporating compelling case studies and strategic guidance, the book demonstrates how AI can be developed and applied within systems and programs to promote inclusion, break down barriers, and enhance collaboration in cross-cultural organizational settings. Providing case studies and examples, this book equips computer scientists and engineers with actionable strategies for integrating AI seamlessly into programs and applications designed for diverse global teams. With contributions from experts in AI and team dynamics, this book will benefit leaders and team members seeking to leverage AI for improved teamwork across geographical and cultural boundaries, providing an up-to-date resource for uniting, uplifting, and optimizing global collaborations through inclusive artificial intelligence.

    • Computational Intelligence in Surveillance Systems Using Image Processing

      • 1st Edition
      • March 1, 2026
      • Jay Kumar Pandey + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 0 8 2
      • eBook
        9 7 8 0 4 4 3 3 6 4 0 9 9
      Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors.

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