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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

    • 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...

    • Health Information Exchange

      • 2nd Edition
      • November 9, 2022
      • Brian Dixon
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 8 0 2 3
      • eBook
        9 7 8 0 3 2 3 9 0 8 0 3 0
      Health Information Exchange: Navigating and Managing a Network of Health Information Systems, Second Edition, now fully updated, is a practical guide on how to understand, manage and make use of a health information exchange infrastructure, which moves patient-centered information within the health care system. The book informs and guides the development of new infrastructures as well as the management of existing and expanding infrastructures across the globe. Sections explore the reasons for the health information exchange (HIE) infrastructures, how to manage them, examines the key drivers of HIE, and barriers to their widespread use. In addition, the book explains the underlying technologies and methods for conducting HIE across communities as well as nations. Finally, the book explains the principles of governing an organization that chiefly moves protected health information around. The text unravels the complexities of HIE and provides guidance for those who need to access HIE data and support operations.

    • Machine Learning for Biometrics

      • 1st Edition
      • January 21, 2022
      • Partha Pratim Sarangi + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 2 0 9 8
      • eBook
        9 7 8 0 3 2 3 9 0 3 3 9 4
      Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

    • Classification Made Relevant

      • 1st Edition
      • January 25, 2022
      • Jules J. Berman
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 8 6 5
      • eBook
        9 7 8 0 3 2 3 9 7 2 5 8 1
      Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded.

    • Essential MATLAB for Engineers and Scientists

      • 8th Edition
      • May 7, 2022
      • Daniel T. Valentine + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 5 4 8 1
      • eBook
        9 7 8 0 3 2 3 9 9 5 9 0 0
      Essential MATLAB for Engineers and Scientists, Eighth Edition provides a concise and balanced overview of MATLAB's functionality, covering both fundamentals and applications. The essentials are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented, along with many examples from a wide range of familiar scientific and engineering areas. This edition has been updated to include the latest MATLAB versions through 2021a. This is an ideal book for a first course on MATLAB, but is also ideal for an engineering problem-solving course using MATLAB.

    • MATLAB Programming for Biomedical Engineers and Scientists

      • 2nd Edition
      • May 24, 2022
      • Andrew P. King + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 7 7 3 4
      • eBook
        9 7 8 0 3 2 3 9 8 4 5 7 7
      MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB. The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more.

    • Digital Twin for Healthcare

      • 1st Edition
      • November 21, 2022
      • Abdulmotaleb El Saddik
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 1 6 3 6
      • eBook
        9 7 8 0 3 2 3 9 5 0 9 5 4
      Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing. A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes.

    • Health Systems Science Education: Development and Implementation

      • 1st Edition
      • Volume 4
      • September 9, 2022
      • Rosalyn Maben-Feaster + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 1 0 9 6 2
      • eBook
        9 7 8 0 4 4 3 1 1 1 4 4 0
      • eBook
        9 7 8 0 4 4 3 1 1 1 4 3 3
      Now taught in a majority of medical schools nationwide, health systems science (HSS) prepares learners for the health systems of the future—an essential topic in modern health care. Health Systems Science Education, part of the American Medical Association’s MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that that equips educators to not just teach health systems science, but to know how to integrate and implement HSS comprehensively and effectively across the curriculum. This change management-oriented volume.

    • Industrial Tomography

      • 2nd Edition
      • May 6, 2022
      • Mi Wang
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 0 1 5 2
      • eBook
        9 7 8 0 1 2 8 2 3 3 0 7 8
      Industrial Tomography: Systems and Applications, Second Edition thoroughly explores the important techniques of industrial tomography, also discusses image reconstruction, systems, and applications. This book presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines. This book is suitable for materials scientists and engineers and applied physicists working in the photonics and optoelectronics industry or in the applications industries.

    • Digital Image Enhancement and Reconstruction

      • 1st Edition
      • October 6, 2022
      • Shyam Singh Rajput + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 8 3 7 0 9
      • eBook
        9 7 8 0 3 2 3 9 8 5 7 8 9
      Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.

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