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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

    • Deep Learning on Edge Computing Devices

      • 1st Edition
      • February 2, 2022
      • Xichuan Zhou + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 7 8 3 3
      • eBook
        9 7 8 0 3 2 3 9 0 9 2 7 3
      Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart surveillance cameras, is presented at the end of the book, integrating innovation in both algorithm and hardware architecture. Structured into three parts, the book covers core concepts, theories and algorithms and architecture optimization.This book provides a solution for researchers looking to maximize the performance of deep learning models on Edge-computing devices through algorithm-hardware co-design.

    • Blockchain Applications for Healthcare Informatics

      • 1st Edition
      • May 20, 2022
      • Sudeep Tanwar
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 6 1 5 9
      • eBook
        9 7 8 0 3 2 3 9 0 8 2 9 0
      Blockchain Applications for Healthcare Informatics: Beyond 5G offers a comprehensive survey of 5G-enabled technology in healthcare applications. This book investigates the latest research in blockchain technologies and seeks to answer some of the practical and methodological questions surrounding privacy and security in healthcare. It explores the most promising aspects of 5G for healthcare industries, including how hospitals and healthcare systems can do better. Chapters investigate the detailed framework needed to maintain security and privacy in 5G healthcare services using blockchain technologies, along with case studies that look at various performance evaluation metrics, such as privacy preservation, scalability and healthcare legislation.

    • Artificial Intelligence Methods for Optimization of the Software Testing Process

      • 1st Edition
      • July 21, 2022
      • Sahar Tahvili + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 9 1 3 5
      • eBook
        9 7 8 0 3 2 3 9 1 2 8 2 2
      Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier’s Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier...

    • Computers as Components

      • 5th Edition
      • June 9, 2022
      • Marilyn Wolf
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 1 2 8 2
      • eBook
        9 7 8 0 3 2 3 8 5 1 2 9 9
      Computers as Components: Principles of Embedded Computing System Design, Fifth Edition continues to focus on foundational content in embedded systems technology and design while updating material throughout the book and introducing new content on machine learning and Internet-of-Things (IoT) systems.

    • Data Mining

      • 4th Edition
      • July 2, 2022
      • Jiawei Han + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 1 7 6 0 6
      • eBook
        9 7 8 0 1 2 8 1 1 7 6 1 3
      Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.

    • Biomedical Image Synthesis and Simulation

      • 1st Edition
      • June 18, 2022
      • Ninon Burgos + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 3 4 9 7
      • eBook
        9 7 8 0 1 2 8 2 4 3 5 0 3
      Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future.

    • Optimum-Path Forest

      • 1st Edition
      • January 6, 2022
      • Alexandre Xavier Falcao + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 6 8 8 9
      • eBook
        9 7 8 0 1 2 8 2 2 6 8 9 6
      The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions.

    • Measuring the User Experience

      • 3rd Edition
      • February 8, 2022
      • Bill Albert + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 0 8 0 8
      • eBook
        9 7 8 0 1 2 8 1 8 0 8 1 5
      *Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*Measuring the User Experience: Collecting, Analyzing, and Presenting UX Metrics, Third Edition provides the quantitative analysis training that students and professionals need. This book presents an update on the first resource that focused on how to quantify user experience. Now in its third edition, the authors have expanded on the area of behavioral and physiological metrics, splitting that chapter into sections that cover eye-tracking and measuring emotion. The book also contains new research and updated examples, several new case studies, and new examples using the most recent version of Excel.

    • The Blockchain Technology for Secure and Smart Applications across Industry Verticals

      • 1st Edition
      • Volume 121
      • January 23, 2021
      • English
      • Hardback
        9 7 8 0 1 2 8 2 1 9 9 1 1
      • eBook
        9 7 8 0 1 2 8 2 1 9 9 2 8
      The Blockchain Technology for Secure and Smart Applications across Industry Verticals, Volume 121, presents the latest information on a type of distributed ledger used for maintaining a permanent and tamper-proof record of transactional data. The book presents a novel compendium of existing and budding Blockchain technologies for various smart applications. Chapters in this new release include the Basics of Blockchain, The Blockchain History, Architecture of Blockchain, Core components of Blockchain, Blockchain 2.0: Smart Contracts, Empowering Digital Twins with Blockchain, Industrial Use Cases at the Cusp of the IoT and Blockchain Paradigms, Blockchain Components and Concepts, Digital Signatures, Accumulators, Financial Systems, and more. This book is a unique effort to illuminate various techniques to represent, improve and authorize multi-institutional and multidisciplinary research in a different type of smart applications, like the financial system, smart grid, transportation system, etc. Readers in identity-privacy, traceability, immutability, transparency, auditability, and security will find it to be a valuable resource.

    • Nature-Inspired Computing Paradigms in Systems

      • 1st Edition
      • June 18, 2021
      • Mohamed Arezki Mellal + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 7 4 9 6
      • eBook
        9 7 8 0 1 2 8 2 3 7 5 0 2
      Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability.

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