Skip to main content
Elsevier
View Cart
My account

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

    • Essential MATLAB for Engineers and Scientists

      • 7th Edition
      • March 23, 2019
      • Daniel T. Valentine + 1 more
      • English
      • eBook
        9 7 8 0 0 8 1 0 2 9 9 8 5
      Essential MATLAB for Engineers and Scientists, Seventh Edition, provides a concise, 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 2018b. This is an ideal book for a first course on MATLAB, but is also ideal for an engineering problem-solving course using MATLAB.

    • Riemannian Geometric Statistics in Medical Image Analysis

      • 1st Edition
      • September 2, 2019
      • Xavier Pennec + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 7 2 5 2
      • eBook
        9 7 8 0 1 2 8 1 4 7 2 6 9
      Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology Content includes: The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs Applications of statistics on manifolds and shape spaces in medical image computing Diffeomorphic deformations and their applications As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science.

    • Business Process Change

      • 4th Edition
      • February 28, 2019
      • Paul Harmon
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 8 4 7 0
      • eBook
        9 7 8 0 1 2 8 1 5 8 4 8 7
      Business Process Change: A Business Process Management Guide for Managers and Process Professionals, Fourth Edition, provides a balanced view of the field of business process change. Bestselling author and renowned expert in the field Paul Harmon offers concepts, methods, cases for all aspects, and phases of successful business process improvement. Students and professionals alike will benefit from the comprehensive coverage and customizable, integrated approach to broad business process management that focuses on improving efficiency and productivity. In this updated Edition, particular attention is paid to the impact of disruptive technology on business and the need for agile transformation.

    • 5G NR

      • 1st Edition
      • June 15, 2019
      • Sassan Ahmadi
      • English
      • Hardback
        9 7 8 0 0 8 1 0 2 2 6 7 2
      • eBook
        9 7 8 0 1 2 8 1 3 4 0 2 3
      5G NR: Architecture, Technology, Implementation, and Operation of 3GPP New Radio Standards is an in-depth, systematic, technical reference on 3GPP’s New Radio standards (Release 15 and beyond), covering the underlying theory, functional descriptions, practical considerations, and implementation of the 5G new radio access technology. The book describes the design and operation of individual components and shows how they are integrated into the overall system and operate from a system’s perspective. Uniquely, this book gives detailed information on RAN protocol layers, transports, network architectures, and services, as well as practical implementation and deployment issues, making it suitable for researchers and engineers who are designing and developing 5G systems.Reflecting on the author's 30 plus years of experience in signal processing, microelectronics, and wireless communication system design, this book is ideal for professional engineers, researchers, and graduate students who are working and researching in cellular communication systems and protocols as well as mobile broadband wireless standards.

    • 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

    • Introduction to Modeling in Physiology and Medicine

      • 2nd Edition
      • August 1, 2019
      • Claudio Cobelli + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 7 5 6 5
      • eBook
        9 7 8 0 1 2 8 1 5 8 0 5 0
      Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear understanding of the fundamental principles of good modeling methodology. Sections show how to create valid mathematical models that are fit for a range of purposes. These models are supported by detailed explanation, extensive case studies, examples and applications. This updated edition includes clearer guidance on the mathematical prerequisites needed to achieve the maximum benefit from the material, a greater detail regarding basic approaches to modeling, and discussions on non-linear and stochastic modeling. The range of case study material has been substantially extended, with examples drawn from recent research experience. Key examples include a cellular model of insulin secretion and its extension to the whole-body level, a model of insulin action during a meal/oral glucose tolerance test, a large-scale simulation model of type 1 diabetes and its use in in silico clinical trials and drug trials.

    • 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.

    • Analyzing Social Media Networks with NodeXL

      • 2nd Edition
      • May 8, 2019
      • Derek Hansen + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 7 7 5 6 3
      • eBook
        9 7 8 0 1 2 8 1 7 7 5 7 0
      Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Second Edition, provides readers with a thorough, practical and updated guide to NodeXL, the open-source social network analysis (SNA) plug-in for use with Excel. The book analyzes social media, provides a NodeXL tutorial, and presents network analysis case studies, all of which are revised to reflect the latest developments. Sections cover history and concepts, mapping and modeling, the detailed operation of NodeXL, and case studies, including e-mail, Twitter, Facebook, Flickr and YouTube. In addition, there are descriptions of each system and types of analysis for identifying people, documents, groups and events. This book is perfect for use as a course text in social network analysis or as a guide for practicing NodeXL users.

    • Navigating the Maze

      • 1st Edition
      • April 6, 2019
      • Michael S. Lubell
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 7 1 0 8
      • eBook
        9 7 8 0 1 2 8 1 4 7 1 1 5
      Navigating the Maze: How Science and Technology Policies Shape America and the World offers a captivating deep dive into the inner workings of the world of public policy. Written by prominent science advocate and renowned physics researcher and educator, Michael S. Lubell, this valuable book provides insights and real-world examples for anyone looking to understand how policy works in reality: for students, scientists, and the public. Well-organized and featuring a compelling historical narrative, this unique resource will enable researchers, educators, elected officials, industrialists, financial managers, science lobbyists, and readers in general to easily navigate the complex world of science and technology (S&T) policy. As science communication and STEM policy occupy rapidly growing areas of interest and provide important career paths, this book provides invaluable insights into the public policy arena, as well as lessons for effective science advocacy.

    • Data Architecture: A Primer for the Data Scientist

      • 2nd Edition
      • April 30, 2019
      • W.H. Inmon + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 9 1 6 2
      • eBook
        9 7 8 0 1 2 8 1 6 9 1 7 9
      Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.

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