Skip to main content
Elsevier
View Cart

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

    • e-Design

      • 1st Edition
      • February 23, 2016
      • Kuang-Hua Chang
      • English
      • eBook
        9 7 8 0 1 2 8 0 9 7 3 6 6
      e-Design: Computer-Aided Engineering Design, Revised First Edition is the first book to integrate a discussion of computer design tools throughout the design process. Through the use of this book, the reader will understand basic design principles and all-digital design paradigms, the CAD/CAE/CAM tools available for various design related tasks, how to put an integrated system together to conduct All-Digital Design (ADD), industrial practices in employing ADD, and tools for product development.

    • Advances in Computers

      • 1st Edition
      • Volume 102
      • July 4, 2016
      • English
      • Hardback
        9 7 8 0 1 2 8 0 9 9 1 9 3
      • eBook
        9 7 8 0 1 2 8 0 5 1 6 8 9
      Advances in Computers, an ongoing series since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references and continue to be of significant, lasting value in this rapidly expanding field.

    • Resolving Spectral Mixtures

      • 1st Edition
      • Volume 30
      • August 13, 2016
      • English
      • Hardback
        9 7 8 0 4 4 4 6 3 6 3 8 6
      • eBook
        9 7 8 0 4 4 4 6 3 6 4 4 7
      Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem—from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing. Unravelling total spectral data into the contributions from individual unknown components with limited prior information is a complex problem that has attracted continuous interest for almost four decades. Spectral unmixing is a topic of interest in statistics, chemometrics, signal processing, and image analysis. For decades, researchers from these fields were often unaware of the work in other disciplines due to their different scientific and technical backgrounds and interest in different objects or samples. This led to the development of quite different approaches to solving the same problem. This multi-authored book will bridge the gap between disciplines with contributions from a number of well-known and strongly active chemometric and signal processing research groups. Among chemists, multivariate curve resolution methods are preferred to extract information about the nature, amount, and location in time (process) and space (imaging and microscopy) of chemical constituents in complex samples. In signal processing, assumptions are usually around statistical independence of the extracted components. However, the chapters include the complexity of the spectral data to be unmixed as well as dimensionality and size of the data sets. Advanced spectroscopy is the key thread linking the different chapters. Applications cover a large part of the electromagnetic spectrum. Time-resolution ranges from femtosecond to second in process spectroscopy and spatial resolution covers the submicronic to macroscopic scale in hyperspectral imaging.

    • Short-Wavelength Magnetic Recording

      • 1st Edition
      • October 27, 2016
      • J.J.M. Ruigrok
      • English
      • Paperback
        9 7 8 0 9 4 6 3 9 5 5 6 9
      • eBook
        9 7 8 1 4 8 3 2 9 2 4 6 5
      Short-wavelength magnetic recording presents a series of practical solutions to a wide range of problems in the field of magnetic recording. It features many new and original results, all derived from fundamental principles as a result of up-to-date research.A special section is devoted to the playback process, including the calculations of head efficiency and head impedance, derived from new theorems.Features include:A simple and fast method for measuring efficiency; a simple method for the accurate separation of the read and write behaviour of magnetic heads; a new concept - the bandpass head.Other types of head covered include: the metal-in-gap head; the amarphous head; the thin-film head; the magneto-resistive head; and probe-type heads for perpendicular recording.The introduction includes an invaluable historical summary of magnetic recording, and the book also features an extensive subject index, complete author index, and a glossary of symbols."The scope and mathematical rigour of this book can only be compared with W.K. Westmijze's 1953 landmark "Studies in Magnetic Recording""The easy writing style (renders) the mathematical treatments readily understandable as physical propositions... A careful study of this book cannot help but provide the reader with the most profound insights into the limits of short-wavelength recording." John C. Mallinson, Center for Magnetic Recording Research, University of California, San Diego, USA.

    • Digital Libraries

      • 1st Edition
      • January 21, 2016
      • Fabrice Papy
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 4 5 4
      • eBook
        9 7 8 0 0 8 1 0 0 4 8 6 9
      The technological interoperability of digital libraries must be rethought in order to adapt to new uses and networks. Informative digital environments aimed at responding to heritage, cultural, scientific or commercial demands have taken over the global cyberspace and have redesigned the techno-informative landscape of the Web. However, while the technological models demonstrate their effectiveness and explain to a large extent the creation of digital libraries, archives and deposits, the subjacent concept of uses continues to cause debate. The information technologies used by heterogeneous digital libraries enable a technical interoperability of content. This is not enough to allow the adhesion of a public connected to very different information profiles and techniques. This book explores the avenues of a user-orientated interoperability where the questions of consultation interfaces and content description processes are studied.

    • Certifiable Software Applications 1

      • 1st Edition
      • July 4, 2016
      • Jean-Louis Boulanger
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 1 1 7 8
      • eBook
        9 7 8 0 0 8 1 0 1 1 6 5 2
      Certifiable Software Applications 1: Main Processes is dedicated to the establishment of quality assurance and safety assurance. It establishes the context for achieving a certifiable software application. In it, the author covers recent developments such as the module, component and product line approach. Applicable standards are presented and security principles are described and discussed. Finally, the requirements for mastering quality and configuration are explained. In this book the reader will find the fundamental practices from the field and an introduction to the concept of software application.

    • Formative Assessment, Learning Data Analytics and Gamification

      • 1st Edition
      • May 9, 2016
      • Santi Caballé + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 6 3 7 2
      • eBook
        9 7 8 0 1 2 8 0 3 6 6 7 9
      Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification. This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance.

    • Modern Assembly Language Programming with the ARM Processor

      • 1st Edition
      • April 27, 2016
      • Larry D Pyeatt
      • English
      • Hardback
        9 7 8 0 1 2 8 0 3 6 9 8 3
      • eBook
        9 7 8 0 1 2 8 0 3 7 1 6 4
      Modern Assembly Language Programming with the ARM Processor is a tutorial-based book on assembly language programming using the ARM processor. It presents the concepts of assembly language programming in different ways, slowly building from simple examples towards complex programming on bare-metal embedded systems. The ARM processor was chosen as it has fewer instructions and irregular addressing rules to learn than most other architectures, allowing more time to spend on teaching assembly language programming concepts and good programming practice. In this textbook, careful consideration is given to topics that students struggle to grasp, such as registers vs. memory and the relationship between pointers and addresses, recursion, and non-integral binary mathematics. A whole chapter is dedicated to structured programming principles. Concepts are illustrated and reinforced with a large number of tested and debugged assembly and C source listings. The book also covers advanced topics such as fixed and floating point mathematics, optimization, and the ARM VFP and NEONTM extensions. PowerPoint slides and a solutions manual are included. This book will appeal to professional embedded systems engineers, as well as computer engineering students taking a course in assembly language using the ARM processor.

    • Big Data and Smart Service Systems

      • 1st Edition
      • November 22, 2016
      • Xiwei Liu + 4 more
      • English
      • Hardback
        9 7 8 0 1 2 8 1 2 0 1 3 2
      • eBook
        9 7 8 0 1 2 8 1 2 0 4 0 8
      Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.

    • Machine Learning and Medical Imaging

      • 1st Edition
      • August 9, 2016
      • Guorong Wu + 2 more
      • English
      • Hardback
        9 7 8 0 1 2 8 0 4 0 7 6 8
      • eBook
        9 7 8 0 1 2 8 0 4 1 1 4 7
      Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/codin... and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

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