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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

    • Tactile Robotics

      • 1st Edition
      • June 20, 2025
      • Qiang Li
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 9 1 3 9
      • eBook
        9 7 8 0 4 4 3 2 1 9 1 4 6
      Tactile Robotics structures and unifies the information processing of tactile data—not only for extracting object property but also for controller computation. This book systematically introduces tactile sensors, perception, and control, providing readers with no prior background with a better sense and knowledge of robotics and machine learning and helping users understand the concept of tactile robots and their various applications for use in real-world scenarios.

    • The Digital Doctor

      • 1st Edition
      • January 15, 2025
      • Chayakrit Krittanawong
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 7 2 8 8
      • eBook
        9 7 8 0 4 4 3 3 4 3 4 4 5
      The Digital Doctor: How Digital Health Can Transform Healthcare discusses digital health and demonstrates the appropriateness of each technology using an evidence-based approach. It serves as a comprehensive summary on current, evidence-based digital health applications, future novel digital health technologies (e.g., mobile health, blockchain, web3.0), as well as some of the current challenges and future directions for digital health within the various medical subspecialties. This book is a comprehensive review of digital health for clinicians, researchers, bioinformatic students, biomedical engineers interested in this topic.

    • Edge Intelligence in Cyber-Physical Systems

      • 1st Edition
      • May 15, 2025
      • Wei Yu
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 5 7 2 3
      • eBook
        9 7 8 0 4 4 3 2 6 5 7 3 0
      Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.

    • Deep Learning in Action: Image and Video Processing for Practical Use

      • 1st Edition
      • March 12, 2025
      • Abdussalam Elhanashi + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 7 8 3
      • eBook
        9 7 8 0 4 4 3 3 0 0 7 9 0
      Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.

    • The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

      • 1st Edition
      • July 11, 2025
      • Hossein Pourrahmani + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 1 4 6 7 1
      • eBook
        9 7 8 0 4 4 3 4 1 4 6 8 8
      The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain provides an essential guide to understanding the transformative potential of advanced technologies in decentralized hydrogen communities. This comprehensive resource covers the intersection of AI, IoT, and blockchain with sustainable energy, offering insights from foundational principles to advanced applications. Readers will learn about the environmental benefits of hydrogen over fossil fuels, electrolysis, and the integration of innovative technologies to enhance hydrogen production and distribution. The book delves into the role of fuel cells in clean energy, advanced AI algorithms in hydrogen production, blockchain trust in hydrogen networks, and IoT connectivity.Economi... considerations, policy frameworks, and the future of decentralized hydrogen communities are also explored, making this an invaluable reference for researchers, industry professionals, policymakers, and students interested in the hydrogen economy.

    • Bi-directionality in Human-AI Collaborative Systems

      • 1st Edition
      • June 11, 2025
      • William Lawless + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 5 5 3 2
      • eBook
        9 7 8 0 4 4 3 4 0 5 5 4 9
      Bi-directionality in Human-AI Collaborative Systems investigates the foundations, metrics, and applications of human-machine systems, along with the legal ramifications of autonomy, including standards, trust by the public, and bidirectional trust by users and AI systems. The book addresses the challenges in creating synergistic human and AI-based autonomous system-of-systems by focusing on the underlying challenges associated with bi-directionality. Chapters cover advances in LLMs, logic, machine learning choices, the development of standards, as well as human-centered approaches to autonomous human-machine teams. This is a valuable resource for world-class researchers and engineers who are theorizing on, designing, and developing autonomous systems.It will also be useful for government scientists, business leaders, social scientists, philosophers, regulators and legal experts interested in the impact of autonomous human-machine teams and systems.

    • Quantum Computing

      • 1st Edition
      • June 30, 2025
      • Rajkumar Buyya + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 0 9 6 1
      • eBook
        9 7 8 0 4 4 3 2 9 0 9 7 8
      Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers.This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.

    • Artificial Intelligence Innovations for Biomedical Engineering and Healthcare

      • 1st Edition
      • June 18, 2025
      • Alma Y Alanis + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 5 6 5
      • eBook
        9 7 8 0 4 4 3 3 2 8 5 7 2
      Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging trends and showcases AI's potential in transforming patient care, diagnosis, and the treatment of chronic diseases. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics are reshaping the healthcare landscape.From decoding complex networks to revealing AI's role in treating chronic diseases, this book serves as a guide to understanding how innovation is reshaping the healthcare landscape.

    • Edge Artificial Intelligence

      • 1st Edition
      • July 7, 2025
      • Parikshit Narendra Mahalle + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 7 2 0 8
      • eBook
        9 7 8 0 4 4 3 2 6 7 2 1 5
      Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues introduces the essentials of Edge AI and machine learning. It delves into the architecture, algorithms, and applications of Edge AI, offering insights into regulation and governance. Real-world case studies and practical examples are included, providing readers with the knowledge and tools to harness the transformative power of Edge AI. This book also addresses the ethical considerations and regulatory aspects of deploying AI at the edge.In addition to offering a clear understanding of real-time decision-making, enhanced privacy, and efficient applications, this book empowers both technical and nontechnical readers by providing practical insights, case studies, and ethical considerations. It helps users implement and govern Edge AI in a responsible and effective manner.

    • Quaternion-Based Sparse Image Processing

      • 1st Edition
      • July 2, 2025
      • Satya Prakash Yadav + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 2 4 4 6
      • eBook
        9 7 8 0 4 4 3 2 9 2 4 5 3
      Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research, and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

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