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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

    • Decentralized Optimization in Networks

      • 1st Edition
      • July 23, 2025
      • Qingguo Lü, + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 3 3 7 8
      • eBook
        9 7 8 0 4 4 3 3 3 3 3 8 5
      Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation provides the reader with theoretical foundations, practical guidance, and solutions to decentralized optimization problems. The book demonstrates the application of decentralized optimization algorithms to enhance communication and computational efficiency, solve large-scale datasets, maintain privacy preservation, and address challenges in complex decentralized networks. The book covers key topics such as event-triggered communication, random link failures, zeroth-order gradients, variance-reduction, Polyak’s projection, stochastic gradient, random sleep, and differential privacy. It also includes simulations and practical examples to illustrate the algorithms' effectiveness and applicability in real-world scenarios.

    • Blockchain and Digital Twin for Smart Healthcare

      • 1st Edition
      • February 12, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 3 0 0 5
      • eBook
        9 7 8 0 4 4 3 3 0 3 0 1 2
      The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.

    • Quantum Computing for Healthcare Data

      • 1st Edition
      • January 17, 2025
      • Gayathri Nagasubramanian + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 2 9 7 2
      • eBook
        9 7 8 0 4 4 3 2 9 2 9 8 9
      Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.

    • 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.

    • Statistical Modeling and Robust Inference for One-shot Devices

      • 1st Edition
      • March 26, 2025
      • Narayanaswamy Balakrishnan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 1 5 3 9
      • eBook
        9 7 8 0 4 4 3 1 4 1 5 2 2
      The study of one-shot devices such as automobile airbags, fire extinguishers, or antigen tests, is rapidly becoming an important problem in the area of reliability engineering. These devices, which are destroyed or must be rebuilt after use, are a particular case of extreme censoring, which makes the problem of estimating their reliability and lifetime challenging. However, classical statistical and inferential methods do not consider the issue of robustness.Statistic... Modeling and Robust Interference for One-shot Devices offers a comprehensive investigation of robust techniques of one-shot devices under accelerated-life tests. With numerous examples and case studies in which the proposed methods are applied, this book includes detailed R codes in selected chapters to help readers implement their own codes and use them in the proposed examples and in their own research on one-shot devicetesting data. Researchers, mathematicians, engineers, and students working on acceleratedlife testing data analysis and robust methodologies will find this to be a welcome resource.

    • The Core Network for 5G Advanced

      • 2nd Edition
      • February 3, 2025
      • Stefan Rommer + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 1 8 8 3
      • eBook
        9 7 8 0 4 4 3 2 9 1 8 9 0
      The Core Network for 5G Advanced, Second Edition covers up to the 3GPP release 17 & 18 which includes the core network for 5G Advanced as well as a large number of new features added by 3GPP to expand the initial 5G Core specifications in rel-15/16. This new release includes A complete update to reflect developments in Releases 17 and 18, along with new chapters on Service Exposure, non-3GPP access, 3GPP access for new use cases, Edge computing, Industry and Enterprise features, Regulatory services and Network automation and AI/ML, an overview of the 5G Core Architecture, and much more.Examples of 5G network deployment options for different use cases are also included. Written by authors who are heavily involved in the development of 5G standards, and who have written several successful books on 4G and 5G Core Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network.

    • 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.

    • Federated Learning for Medical Imaging

      • 1st Edition
      • March 17, 2025
      • Xiaoxiao Li + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 6 4 1 9
      • eBook
        9 7 8 0 4 4 3 2 3 6 4 2 6
      Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL. It shows how FL allows multiple medical institutes to collaboratively train and use a precise machine learning (ML) model without sharing private medical data via practical implantation guidance. The book includes real-world case studies and applications of FL, demonstrating how this technology can be used to solve complex problems in medical imaging. The book also provides an understanding of the challenges and limitations of FL for medical imaging, including issues related to data and device heterogeneity, privacy concerns, synchronization and communication, etc.This book is a complete resource for computer scientists and engineers, as well as clinicians and medical care policy makers, wanting to learn about the application of federated learning to medical imaging.

    • Digital Twin and Blockchain for Sensor Networks in Smart Cities

      • 1st Edition
      • February 25, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 7 6 9
      • eBook
        9 7 8 0 4 4 3 3 0 0 7 7 6
      Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.

    • Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare

      • 1st Edition
      • October 17, 2025
      • Joseph Bamidele Awotunde + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 4 3 9 9
      • eBook
        9 7 8 0 4 4 3 3 3 4 4 0 5
      Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare explores the intersection of two transformative technologies, fog computing and the IoT, shedding light on how they are revolutionizing healthcare. The book serves as an essential guide for researchers and graduate students, explaining the underlying concepts, operational benefits, and potential challenges of these technologies. By delving into how fog computing enhances real-time data processing, the book's authors provide invaluable insights into the practical applications of these advancements in the healthcare industry.Additionall... together with its companion book, Advances in Fog computing and the Internet of Things for Smart Healthcare, the series provides a comprehensive understanding of how these technologies are enabling more efficient, personalized, and accessible healthcare services. By facilitating smart applications and services across various industries, fog computing optimizes performance, latency, privacy, and overall system efficiency, ultimately contributing to the development of more effective and responsive IoT ecosystems.

Related subjects

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