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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.

  • Quality of Experience Paradigm in Multimedia Services

    Application to OTT Video Streaming and VoIP Services
    • 1st Edition
    • Muhammad Sajid Mushtaq + 1 more
    • English
    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
    • John I. Gallin + 2 more
    • English
    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.
  • XML-based Content Management

    Integration, Methodologies and Tools
    • 1st Edition
    • Ricardo Eito-Brun
    • English
    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.
  • Computer Vision

    Principles, Algorithms, Applications, Learning
    • 5th Edition
    • E. R. Davies
    • English
    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...
  • Machine Learning

    A Constraint-Based Approach
    • 1st Edition
    • Marco Gori
    • English
    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.
  • Notes in the Category of C

    Reflections on Laboratory Animal Care and Use
    • 1st Edition
    • Steven M. Niemi
    • English
    Notes in the Category C: Reflections on Laboratory Animal Care and Use addresses how to improve laboratory animal care and use, also characterizing the current state of the industry and speculating on its long-term future. It offers analysis from a professional who has spent a lot of time in the trenches, also highlighting new approaches to produce further advances in the field. As the proper care and use of lab animals is critically important to scientists and those who depend on data generated from those animals, this comprehensive book is an ideal resource on the topic. Physicians, patients and their families, consumers, federal and non-profit research funding entities, health advocacy organizations, the FDA, EPA, regulatory approval agencies, and companies that invest billions in R&D to create new diagnostics, drugs, vaccines and medical devices will find this an informative addition for their work.
  • Cloud Computing

    Theory and Practice
    • 2nd Edition
    • Dan C. Marinescu
    • English
    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.
  • Parallel Programming

    Concepts and Practice
    • 1st Edition
    • Bertil Schmidt + 3 more
    • English
    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

    Crowds, Communities and Co-production
    • 1st Edition
    • Mark Hedges + 1 more
    • English
    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.
  • Fundraising

    How to Raise Money for Your Library Using Social Media
    • 1st Edition
    • Joyce V. Garczynski
    • English
    Fundraising: How to Raise Money for Your Library Using Social Media introduces the phenomena that many members, supporters and fundraisers are not using social media to fundraise for their libraries, and may not be aware of its strengths and pitfalls. The book discusses why social media should be used to fundraise and how to successfully employ social media campaigns, also providing examples from library funding initiatives that libraries can follow. Since social media changes relatively quickly, library staff members, supporters and fundraisers need up-to-date information on how to craft messages for the platforms that they use. This book presents less on best practices for specific social media platform, focusing more on library social media fundraising strategies that have been found to be effective (for example, how libraries have successfully created fundraising campaigns with hashtags).