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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

    • Consensus

      • 1st Edition
      • December 1, 2025
      • Ali Ahmadian + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 4 3 9 9
      • eBook
        9 7 8 0 4 4 3 4 0 4 4 0 5
      Consensus: Fueling Blockchain Innovation and DApp Expansion explores the complexities of consensus mechanisms in order to shed light on emerging trends, best practices, and real-world applications that can fuel blockchain innovation while encouraging the dissemination of DApps across various industries. Additionally, the book bridges a crucial gap in the literature by providing in-depth insights into the role of consensus mechanisms in shaping the future of blockchain technology and decentralized applications. This book delves into the fundamentals of blockchain technology along with the roles and significance of vital consensus mechanisms, their underlying principles, formal specifications, functional characteristics, architecture, frameworks, and potential across diverse blockchain applications. Moreover, the book meticulously explores classification, performance metrics, and design parameters. It offers a comprehensive comparative analysis of these mechanisms, shedding light on their computational and communication complexity, strengths, weaknesses, and suitability. Additionally, the book delves into future research directions, highlighting emerging trends and areas requiring further investigation. It also addresses the efforts underway to address existing challenges and open issues within the realm of consensus mechanisms, ensuring a comprehensive understanding of the state-of-the-art in this pivotal aspect of blockchain technology. Due to the wide range of availability and evolving new consensus mechanisms, selecting an optimal and suitable consensus for a specific blockchain application is one of the crucial challenges in the development and innovation of blockchain systems. This book has also a discussion on appropriate selection algorithms based on multi-attribute decision-making for specific blockchain systems and DApps development.

    • eCARE for Healthy Ageing

      • 1st Edition
      • August 1, 2025
      • Luis Figueredo + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 2 6 0
      • eBook
        9 7 8 0 4 4 3 3 3 7 2 7 7
      "eCARE for Healthy Ageing: Enhanced Caregiving through AI and Robotics Enablers for Healthy Ageing" serves as as a practical guide for researchers, providing a holistic perspective on activities of daily living (ADLs), health monitoring, and social interaction in the context of caregiving for older adults. In the first part, "Real-world Care Tasks and Requirements," the book addresses practical applications, aiming to guide future research based on end-users and establish the foundation for assistive technologies. The second part focuses on challenges in caregiving from a robotics and AI perspective, covering topics like environment interaction, navigation, manipulation, and learning new tasks. The third part extends the discussion to ADLs involving physical contact, such as dressing and feeding. It explores perception, health monitoring, physical collaboration, and interaction, addressing technological challenges and opportunities. The fourth part delves into the cognitive aspects of human-robot interaction, exploring social interaction with older adults. The final part integrates insights from large studies and successful cases, connecting them to the earlier discussions. It highlights limitations, ethical considerations, and individual needs/dilemmas in achieving a holistic robotics and AI solution for Geriatronics.

    • Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices

      • 1st Edition
      • June 1, 2025
      • Aditya Khamparia + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 0 1 2 4
      • eBook
        9 7 8 0 4 4 3 3 3 0 1 3 1
      Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices focuses on the intersection of biometric-driven computational approaches and techniques within a connected multi-modal environment, particularly emphasizing their applications in healthcare. The book explores cutting-edge methodological approaches that leverage technologies like blockchain and integrate them with information fusion, data security for medical devices, and trust management. Readers with find this to be a comprehensive overview of the topics covered, including machine learning and deep learning for biomedical-based biometrics, computational medical imaging techniques, security strategies for healthcare systems, AI technology for multimodal biometrics, and feature reduction techniques.Other sections cover blockchain and fog computing models for medical sensor data storage and evolutionary optimization for biometric feature identification and recognition, amongst others.

    • Medical Robotics and Intelligent Healthcare Technologies

      • 1st Edition
      • October 1, 2025
      • Jacky Baltes + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 7 6 6 8
      • eBook
        9 7 8 0 4 4 3 2 4 7 6 7 5
      Medical Robotics and Intelligent Healthcare Technologies: AI Applications to Improve Healthcare in Developing Countries is an essential reference for professionals and researchers in fields such as biomedical engineering, health informatics, bioelectronics, medical electronics, physiology, and robotics. This book presents the latest advancements in AI and machine learning-based robotics applications, enabling readers to quickly grasp effective methods and compare various approaches. Addressing critical research areas that directly impact human life and health fills a significant market gap, providing valuable insights into AI, deep learning, machine learning, and big data analytics methods as they relate to emerging robotics research models in the biomedical and healthcare domains.It offers a comprehensive understanding of the concepts, themes, and tools in medical robotics, IoT-based applications, edge computing, and artificial intelligence. With a specific focus on developing countries, this book catalyzes healthcare progress by showcasing the potential of medical robotics and intelligent healthcare technologies. It aims to empower researchers and practitioners to harness these state-of-the-art technologies to improve healthcare systems worldwide.

    • Energy-Efficient Devices and Circuits for Neuromorphic Computing

      • 1st Edition
      • October 22, 2025
      • Farooq Ahmad Khanday
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 9 8 1 0
      • eBook
        9 7 8 0 4 4 3 2 9 9 8 2 7
      Energy-Efficient Devices and Circuits for Neuromorphic Computing is an important contribution to this field, covering topics from neuron dynamics to energy-efficient CMOS devices and circuits. The book delves into theoretical analysis of learning processes in spiking neural networks, two-terminal neuromorphic devices, material-engineered neuromorphic devices, and novel biomimetic Si devices. It offers insights into the latest developments in non-volatile memory crossbar arrays and emerging post-CMOS devices. Overall, it provides a comprehensive overview of energy-efficient neuromorphic computing architecture. This book is an essential resource for researchers, engineers, and students working in neuromorphic computing and energy-efficient electronics.

    • Theoretical Foundations of Quantum Computing

      • 1st Edition
      • July 25, 2025
      • Daowen Qiu
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 7 0 4 7
      • eBook
        9 7 8 0 4 4 3 2 7 7 0 5 4
      Theoretical Foundations of Quantum Computing is an essential textbook for introductory courses in the quantum computing discipline. Quantum computing represents a paradigm shift in understanding computation. This textbook delves into the principles of quantum mechanics that underpin this revolutionary technology, making it invaluable for undergraduate and graduate students in computer science and related fields. Structured into eight meticulously crafted chapters, it covers everything from the historical context of quantum computing to advanced theories and applications. The book includes core topics such as basic models, quantum algorithms, cryptography, communication protocols, complexity, and error correction codes.Each chapter builds upon the last, ensuring a robust understanding of foundational concepts and cutting-edge research. It serves as both a foundational resource for students and a comprehensive guide for researchers interested in quantum computing. Its clarity makes it an excellent reference for deepening understanding or engaging in advanced research.

    • Advanced Topics in Inverse Data Envelopment Analysis

      • 1st Edition
      • July 10, 2025
      • Mehdi Soltanifar + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 8 8 4
      • eBook
        9 7 8 0 4 4 3 3 6 4 8 9 1
      Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data explores and tackles the most significant challenges encountered by researchers and practitioners in decision analysis and performance evaluation. This book delves into the sophisticated realm of Ratio Data Envelopment Analysis (DEA-R), offering a thorough examination of advanced methodologies, practical examples, and insights into managing complex problems involving both non-negative and negative data. Filling crucial gaps in existing literature, this comprehensive resource focuses on the emerging field of Inverse DEA-R, equipping readers with the necessary tools and knowledge to address a wide range of challenging data types. This book serves as an essential guide for making informed and efficient decisions, guiding researchers and graduate students in computer science, applied mathematics, industrial engineering, and finance, navigating the complexities of decision analysis in today's data-driven world.

    • Applied Mathematical Modeling for Biomedical Robotics and Wearable Devices

      • 1st Edition
      • August 29, 2025
      • S. Sountharrajan + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 5 1 4 3
      • eBook
        9 7 8 0 4 4 3 3 3 5 1 5 0
      Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures.

    • Human-Machine interfaces in Medical Robotics

      • 1st Edition
      • November 1, 2025
      • Yanpei Huang + 6 more
      • English
      Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

    • The Convergence of Artificial Intelligence (AI) and 6G Communication Networks: The Needs and Implications

      • 1st Edition
      • Volume 139
      • May 22, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 1 8 9 2 3 4
      • eBook
        9 7 8 0 4 4 3 1 8 9 2 4 1
      Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G’s role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.

Related subjects

Applications

Artificial intelligence

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Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

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Hardware and architecture

Information systems

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Software

Theory and mathematics