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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.

    • Security in Network Functions Virtualization

      • 1st Edition
      • November 17, 2017
      • Zonghua Zhang + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 2 5 7 1
      • eBook
        9 7 8 0 0 8 1 0 2 3 7 1 6
      The software and networking industry is experiencing a rapid development and deployment of Network Functions Visualization (NFV) technology, in both enterprise and cloud data center networks. One of the primary reasons for this technological trend is that NFV has the capability to reduce CAPEX and OPEX, whilst increasing networking service efficiency, performance, agility, scalability, and resource utilization. Despite such well-recognized benefits, security remains a major concern of network service providers and seriously impedes the further expansion of NFV. This book is therefore dedicated to investigating and exploring the potential security issues of NFV. It contains three major elements: a thorough overview of the NFV framework and architecture, a comprehensive threat analysis aiming to establish a layer-specific threat taxonomy for NFV enabled networking services, and a series of comparative studies of security best practices in traditional networking scenarios and in NFV, ultimately leading to a set of recommendations on security countermeasures in NFV. This book is primarily intended for engineers, engineering students and researchers and those with an interest in the field of networks and telecommunications (architectures, protocols, services) in general, and particularly software-defined network (SDN) and network functions virtualization (NFV)-based security services.
    • Quality of Experience Paradigm in Multimedia Services

      • 1st Edition
      • November 16, 2017
      • Muhammad Sajid Mushtaq + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 1 0 9 3
      • eBook
        9 7 8 0 0 8 1 0 1 1 7 3 7
      The analysis of QoE is not an easy task, especially for multimedia services, because all the factors (technical and non-technical) that directly or indirectly influence the user-perceived quality have to be considered. This book describes different methods to investigate users’ QoE from the viewpoint of technical and non-technical parameters using multimedia services. It discusses the subjective methods for both controlled and uncontrolled environments. Collected datasets are used to analyze users’ profiles, which sheds light on key factors to help network service providers understand end-users’ behavior and expectations. Important adaptive video streaming technologies are discussed that run on unmanaged networks to achieve certain QoS features. The authors present a scheduling method to allocate resources to the end-user based on users’ QoE and optimizes the power efficiency of users’ device for LTE-A. Lastly, two key aspects of 5G networks are presented: QoE using multimedia services (VoIP and video), and power-saving model for mobile device and virtual base station.
    • Principles and Practice of Clinical Research

      • 4th Edition
      • November 16, 2017
      • John I. Gallin + 2 more
      • English
      • Hardback
        9 7 8 0 1 2 8 4 9 9 0 5 4
      • eBook
        9 7 8 0 1 2 8 4 9 9 0 4 7
      Principles and Practice of Clinical Research, Fourth Edition has been thoroughly revised to provide a comprehensive look at both the fundamental principles and expanding practice of clinical research. New to this edition of this highly regarded reference, authors have focused on examples that broadly reflect clinical research on a global scale while including a discussion of international regulations, studies, and implications. In addition to key topics such as bioethics, clinical outcome data, cultural diversity, protocol guidelines, and “omic” platforms, this edition contains new chapters devoted to electronic health records and information resources for clinical researchers, as well as the many opportunities associated with big data. Covering a vast number of topics and practical advice for both novice and advanced clinical investigators, this book is a highly relevant and essential resource for all those involved in conducting research.
    • Computer Vision

      • 5th Edition
      • November 14, 2017
      • E. R. Davies
      • English
      • Hardback
        9 7 8 0 1 2 8 0 9 2 8 4 2
      • eBook
        9 7 8 0 1 2 8 0 9 5 7 5 1
      Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnec...
    • XML-based Content Management

      • 1st Edition
      • November 14, 2017
      • Ricardo Eito-Brun
      • English
      • Paperback
        9 7 8 0 0 8 1 0 0 2 0 4 9
      • eBook
        9 7 8 0 0 8 1 0 0 2 4 1 4
      XML-based Content Management: Integration, Methodologies and Tools covers the design and deployment of XML-based solutions and how to manage content and metadata, a practice that requires a more methodological approach than those traditionally applied to the design and deployment of document and content management solutions. The extensive use of XML implies the need of adding additional activities, quality controls, and tools to the established document-management and web-application design processes. The book describes a methodology that covers the different phases of the content and metadata management lifecycle, from generation, to archiving, to compliance with existing content management and archiving standards. In addition, the book reviews the key characteristics of the tools necessary for storage, retrieval and delivery.
    • Cloud Computing

      • 2nd Edition
      • November 13, 2017
      • Dan C. Marinescu
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 8 1 0 7
      • eBook
        9 7 8 0 1 2 8 1 2 8 1 1 4
      Cloud Computing: Theory and Practice, Second Edition, provides students and IT professionals with an in-depth analysis of the cloud from the ground up. After an introduction to network-centric computing and network-centric content in Chapter One, the book is organized into four sections. Section One reviews basic concepts of concurrency and parallel and distributed systems. Section Two presents such critical components of the cloud ecosystem as cloud service providers, cloud access, cloud data storage, and cloud hardware and software. Section Three covers cloud applications and cloud security, while Section Four presents research topics in cloud computing. Specific topics covered include resource virtualization, resource management and scheduling, and advanced topics like the impact of scale on efficiency, cloud scheduling subject to deadlines, alternative cloud architectures, and vehicular clouds. An included glossary covers terms grouped in several categories, from general to services, virtualization, desirable attributes and security.
    • Machine Learning

      • 1st Edition
      • November 13, 2017
      • Marco Gori
      • English
      • Paperback
        9 7 8 0 0 8 1 0 0 6 5 9 7
      • eBook
        9 7 8 0 0 8 1 0 0 6 7 0 2
      Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book. This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
    • Parallel Programming

      • 1st Edition
      • November 13, 2017
      • Bertil Schmidt + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 4 9 8 9 0 3
      • eBook
        9 7 8 0 1 2 8 0 4 4 8 6 5
      Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.
    • Academic Crowdsourcing in the Humanities

      • 1st Edition
      • November 10, 2017
      • Mark Hedges + 1 more
      • English
      • Paperback
        9 7 8 0 0 8 1 0 0 9 4 1 3
      • eBook
        9 7 8 0 0 8 1 0 1 0 4 5 7
      Academic Crowdsourcing in the Humanities lays the foundations for a theoretical framework to understand the value of crowdsourcing, an avenue that is increasingly becoming important to academia as the web transforms collaboration and communication and blurs institutional and professional boundaries. Crowdsourcing projects in the humanities have, for the most part, focused on the generation or enhancement of content in a variety of ways, leveraging the rich resources of knowledge, creativity, effort and interest among the public to contribute to academic discourse. This book explores methodologies, tactics and the "citizen science" involved.
    • Introduction to Data Compression

      • 5th Edition
      • October 23, 2017
      • Khalid Sayood
      • English
      • Paperback
        9 7 8 0 1 2 8 0 9 4 7 4 7
      • eBook
        9 7 8 0 1 2 8 0 9 7 0 5 2
      Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.