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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.

  • The Data and Analytics Playbook

    Proven Methods for Governed Data and Analytic Quality
    • 1st Edition
    • Lowell Fryman + 2 more
    • English
    The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it. In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

  • Managing Trade-offs in Adaptable Software Architectures

    • 1st Edition
    • Ivan Mistrik + 4 more
    • English
    Managing Trade-Offs in Adaptable Software Architectures explores the latest research on adapting large complex systems to changing requirements. To be able to adapt a system, engineers must evaluate different quality attributes, including trade-offs to balance functional and quality requirements to maintain a well-functioning system throughout the lifetime of the system. This comprehensive resource brings together research focusing on how to manage trade-offs and architect adaptive systems in different business contexts. It presents state-of-the-art techniques, methodologies, tools, best practices, and guidelines for developing adaptive systems, and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to, how to architect a system for adaptability, software architecture for self-adaptive systems, understanding and balancing the trade-offs involved, architectural patterns for self-adaptive systems, how quality attributes are exhibited by the architecture of the system, how to connect the quality of a software architecture to system architecture or other system considerations, and more.

  • Machine Learning and Medical Imaging

    • 1st Edition
    • Guorong Wu + 2 more
    • English
    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.

  • Bio-Inspired Computation and Applications in Image Processing

    • 1st Edition
    • Xin-She Yang + 1 more
    • English
    Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.

  • Methods and Tools in User-Centred Design for Information Technology

    • 1st Edition
    • Volume 9
    • Margaret Galer + 3 more
    • English
    This book is concerned with the development of human factorsinputs to software design. The aim is to create products whichmatch the requirements and characteristics of users and whichoffer usable user interfaces. The HUFIT project - Human Factorsin Information Technology - was carried out within the EuropeanStrategic Programme for Research and Development in InformationTechnolog... (ESPRIT) with the objective of enhancing the qualityof software design within the European Community. The variety ofactivities undertaken to achieve this goal are reflected in thisbook. It describes human factors knowledge and tools forintegration in information technology supplier organisations.

  • Biosensors 92 Proceedings

    The Second World Congress on Biosensors
    • 1st Edition
    • W.R. Heineman + 3 more
    • English
    Keeping up to date with new biosensors developments has been getting harder ...– one of the fastest moving fields of academic and industrial research in the world– a constant stream of new commercial applications– centres of research excellence all over Europe, North America and the Pacific Rim– enormous implications for monitoring personal health and fitness, the food we eat, the environment, health services and industryThe answer came on 20–22 May 1992, with BIOSENSORS 92. With a core of invited speakers and over 220 original contributed papers from 24 countries, BIOSENSORS 92 was the largest and most comprehensive event of its kind – a response to the growing importance of biosensors as a powerful new technology.Elsevier Advanced Technology, the organizers of BIOSENSORS 92, have now published the proceedings of this important event.Biosensors 92 Proceedings contains over 150 papers presenting current research and developments straight from those who are leading the way in:– Enzyme–based Sensors– Affinity Sensors– Environmental Monitoring using Biosensors– Biosensors and BioelectronicsBiosen... 92 Proceedings – Your key to current awareness in sensor technology for just £90 [dollar rate subject to current £/$ exchange rate].

  • GPU Programming in MATLAB

    • 1st Edition
    • Nikolaos Ploskas + 1 more
    • English
    GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development.

  • Matlab

    A Practical Introduction to Programming and Problem Solving
    • 4th Edition
    • Dorothy C. Attaway
    • English
    MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, winner of a 2017 Textbook Excellence Award (Texty), has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications.

  • Social Network Sites for Scientists

    A Quantitative Survey
    • 1st Edition
    • Jose Luis Ortega
    • English
    Social Network Sites for Scientists: A Quantitative Survey explores the newest social network sites (for example, ResearchGate and Academia.edu) and web bibliographic platforms (Mendeley, Zotero) that have recently emerged for the scholarly community to use in the interchange of information and documents. Chapters describe their main characteristics, what their advantages and limitations are, and the researchers that populate these websites. The surveys included in the book have been conducted following a quantitative approach, and measure the strength of the services provided by the sites in terms of use and activity. In addition, they also discuss the implications of new products in the future of scientific communication and their impact on research activities and evaluation.

  • Discover Digital Libraries

    Theory and Practice
    • 1st Edition
    • Iris Xie + 1 more
    • English
    Discover Digital Libraries: Theory and Practice is a book that integrates both research and practice concerning digital library development, use, preservation, and evaluation. The combination of current research and practical guidelines is a unique strength of this book. The authors bring in-depth expertise on different digital library issues and synthesize theoretical and practical perspectives relevant to researchers, practitioners, and students. The book presents a comprehensive overview of the different approaches and tools for digital library development, including discussions of the social and legal issues associated with digital libraries. Readers will find current research and the best practices of digital libraries, providing both US and international perspectives on the development of digital libraries and their components, including collection, digitization, metadata, interface design, sustainability, preservation, retrieval, and evaluation of digital libraries.

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