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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

    • Information Visualization

      • 4th Edition
      • December 19, 2019
      • Colin Ware
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 8 7 5 6
      • eBook
        9 7 8 0 1 2 8 1 2 8 7 6 3
      Information Visualization: Perception for Design, Fourth Edition explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--result... in visualization of improved clarity, utility and persuasiveness. This new edition has been revised and updated to include the latest relevant research findings. Content has been updated in areas such as the cognitive neuroscience of maps and navigation, the neuroscience of pattern perception, and the hierarchy of learned patterns. New changes to the book make it easier to apply perceptual lessons to design decisions. In addition, the book offers practical guidelines that can be applied by anyone, including interaction designers and graphic designers of all kinds.

    • Clinical Engineering

      • 2nd Edition
      • December 1, 2019
      • Azzam Taktak + 3 more
      • English
      • Hardback
        9 7 8 0 0 8 1 0 2 6 9 4 6
      • eBook
        9 7 8 0 0 8 1 0 2 6 9 5 3
      Clinical Engineering: A Handbook for Clinical and Biomedical Engineers, Second Edition, helps professionals and students in clinical engineering successfully deploy medical technologies. The book provides a broad reference to the core elements of the subject, drawing from a range of experienced authors. In addition to engineering skills, clinical engineers must be able to work with both patients and a range of professional staff, including technicians, clinicians and equipment manufacturers. This book will not only help users keep up-to-date on the fast-moving scientific and medical research in the field, but also help them develop laboratory, design, workshop and management skills. The updated edition features the latest fundamentals of medical technology integration, patient safety, risk assessment and assistive technology.

    • Feature Extraction and Image Processing for Computer Vision

      • 4th Edition
      • November 17, 2019
      • Mark Nixon + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 9 7 6 8
      • eBook
        9 7 8 0 1 2 8 1 4 9 7 7 5
      Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

    • Building Big Data Applications

      • 1st Edition
      • November 15, 2019
      • Krish Krishnan
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 7 4 6 6
      • eBook
        9 7 8 0 1 2 8 1 5 8 0 4 3
      Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.).

    • 5G Core Networks

      • 1st Edition
      • November 13, 2019
      • Stefan Rommer + 5 more
      • English
      • Paperback
        9 7 8 0 0 8 1 0 3 0 0 9 7
      • eBook
        9 7 8 0 0 8 1 0 3 0 1 0 3
      5G Core Networks: Powering Digitalization provides an overview of the 5G Core network architecture, as well as giving descriptions of cloud technologies and the key concepts in the 3GPP rel-15/16 specifications. Written by the authors who are heavily involved in development of the 5G standards and who wrote the successful book on EPC and 4G Packet Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network. Content includes: An overview of the 5G Core Architecture The Stand-Alone and Non-Stand-Alone Architectures Detailed presentation of 5G Core key concepts An overview of 5G Radio and Cloud technologies Learn The differences between the 5G Core network and previous core network generations How the interworking with previous network standards is defined Why certain functionality has been included and what is beyond the scope of 5G Core How the specifications relate to state-of-the-art web-scale concepts and virtualization technologies Details of the protocol and service descriptions Examples of network deployment options

    • Vision Models for High Dynamic Range and Wide Colour Gamut Imaging

      • 1st Edition
      • November 6, 2019
      • Marcelo Bertalmío
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 8 9 4 6
      • eBook
        9 7 8 0 1 2 8 1 3 8 9 5 3
      To enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality. Currently the emphasis is on High Dynamic Range (HDR) and Wide Colour Gamut (WCG) technologies, which yield images with greater contrast and more vivid colours. The uptake of these technologies, however, has been hampered by the significant challenge of understanding the science behind visual perception. Vision Models for High Dynamic Range and Wide Colour Gamut Imaging provides university researchers and graduate students in computer science, computer engineering, vision science, as well as industry R&D engineers, an insight into the science and methods for HDR and WCG. It presents the underlying principles and latest practical methods in a detailed and accessible way, highlighting how the use of vision models is a key element of all state-of-the-art methods for these emerging technologies.

    • Spectral Geometry of Shapes

      • 1st Edition
      • October 24, 2019
      • Jing Hua + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 8 4 2 7
      • eBook
        9 7 8 0 1 2 8 1 3 8 4 3 4
      Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been a big increase in 3D shape data that requires a variety of shape analysis methods, hence the need for this comprehensive resource.

    • Handbook of Medical Image Computing and Computer Assisted Intervention

      • 1st Edition
      • October 18, 2019
      • S. Kevin Zhou + 2 more
      • English
      • Hardback
        9 7 8 0 1 2 8 1 6 1 7 6 0
      • eBook
        9 7 8 0 1 2 8 1 6 5 8 6 7
      Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention.

    • Applied Analysis of Composite Media

      • 1st Edition
      • October 18, 2019
      • Piotr DrygaÅ› + 3 more
      • English
      • Paperback
        9 7 8 0 0 8 1 0 2 6 7 0 0
      • eBook
        9 7 8 0 0 8 1 0 2 7 3 2 5
      Applied Analysis of Composite Media: Analytical and Computational Approaches presents formulas and techniques that can used to study 2D and 3D problems in composites and random porous media. The main strength of this book is its broad range of applications that illustrate how these techniques can be applied to investigate elasticity, viscous flow and bacterial motion in composite materials. In addition to paying attention to constructive computations, the authors have also included information on codes via a designated webpage. This book will be extremely useful for postgraduate students, academic researchers, mathematicians and industry professionals who are working in structured media.

    • Handbook of Probabilistic Models

      • 1st Edition
      • October 5, 2019
      • Pijush Samui + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 5 1 4 0
      • eBook
        9 7 8 0 1 2 8 1 6 5 4 6 1
      Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more.

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