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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.

    • Massive MIMO in Practice

      • 2nd Edition
      • June 20, 2025
      • Henrik Asplund + 12 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 2 0 4 0
      • eBook
        9 7 8 0 4 4 3 2 9 2 0 5 7
      Massive MIMO in Practice: From 5G to 6G (2nd edition of the previously titled Advanced Antenna Systems for 5G Network Deployments: Bridging the Gap between Theory and Practice) provides a theoretical introduction to Massive MIMO as well as presenting how it can meet network performance requirements for commercial deployment.This new edition will provide a thorough understanding of:array antennas and how they can be used for beamforming, null-forming, and support for MIMO features;Massive MIMO features and how they work, with a particular focus on mobile networks and the specifics relevant for mobile network operation, for example, characteristics of the radio channel in different environment and how Massive MIMO solutions adapt to these;a detailed walk-through of the 3GPP physical layer support for Massive MIMO solutions, the background for this support, and how it can be used in mobile networks;explanation... of what performance can be achieved in commercially deployed mobile networks for: different antenna configurations, different Massive MIMO features, and different network deployment environments;regulat... aspects which are new and specific to Massive MIMO operation; and product architecture and implementation aspects that provide cost efficient and flexible operation.New to this edition More detail on the practical use of Massive MIMO in commercial mobile networks, specifically how to choose solutions, including antenna configuration and suitable Massive MIMO features, for cost efficient operation depending on traffic and environmental conditionsA new chapter on how to put the complete Massive MIMO solution together: hardware solutions, features and use of spectrum, particularly the different use of TDD, FDD, and mm-waveOutlines promising Massive MIMO solutions to be deployed in the futureInclusion of 3GPP’s Rel. 17 and Rel. 18 updatesRecent regulatory issues of high general interestPractical aspects of network planning, deployment, and operationExamples of other applications of Massive MIMO: satellites, drones, and FWAOutlines the path Massive MIMO can play to achieving 6G

    • 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.

    • Python Fast Track

      • 1st Edition
      • June 14, 2025
      • Sanjiban Sekhar Roy + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 8 2 3 6
      • eBook
        9 7 8 0 4 4 3 3 3 8 2 4 3
      Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

    • 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.

    • 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.

    • Introduction to Digital Human Modeling

      • 1st Edition
      • May 15, 2025
      • Yujiang Xiang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 9 9 8 6
      • eBook
        9 7 8 0 4 4 3 2 1 9 9 9 3
      Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

    • 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.

    • Advanced Machine Learning for Cyber-Attack Detection in IoT Networks

      • 1st Edition
      • May 12, 2025
      • Dinh Thai Hoang + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 0 3 2 9
      • eBook
        9 7 8 0 4 4 3 2 9 0 3 3 6
      Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security.

    • Medical Oncology Compendium

      • 1st Edition
      • April 16, 2025
      • Ramon Andrade B de Mello
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 6 0 9 0
      • eBook
        9 7 8 0 4 4 3 1 5 6 0 8 3
      Medical Oncology Compendium discusses several important topics in oncology with the help of leading experts worldwide who incorporate not only knowledge on recent developments in the field, but contextualize them within diverse socioeconomic environments to guarantee the applicability of the content in challenging scenarios. The book comprehensively discusses topics such as surgery, radiology, carcinogenesis, screening, assessment tools, evidence-based medicine, and precision oncology as applicable to different cancer types as non-small and small cell lung cancer, mesothelioma, breast cancer, gastric-rectal cancer, female specific cancers, prostate, skin and bone sarcomas.In addition, it discusses options to minimize oncology pain and palliative care. It is a valuable resource for oncologists, clinicians, researchers, healthcare workers and members of biomedical field who needs to understand more about diagnosis, treatment options and support for cancer patients.

Related subjects

Applications

Artificial intelligence

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Computing milieux

Data

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Hardware and architecture

Information systems

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Software

Theory and mathematics