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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.

BooksJournals

    • Intelligent Data Security Solutions for e-Health Applications

      • 1st Edition
      • August 26, 2020
      • Amit Kumar Singh + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 5 1 1 6
      • eBook
        9 7 8 0 1 2 8 1 9 5 3 8 3
      E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of healthcare facilities and healthcare professionals, diminishing geographical and physical barriers. One critical issue, however, is related to the security of data transmission and access to the technologies of medical information. Currently, medical-related identity theft costs billions of dollars each year and altered medical information can put a person’s health at risk through misdiagnosis, delayed treatment or incorrect prescriptions. Yet, the use of hand-held devices for storing, accessing, and transmitting medical information is outpacing the privacy and security protections on those devices. Researchers are starting to develop some imperceptible marks to ensure the tamper-proofing, cost effective, and guaranteed originality of the medical records. However, the robustness, security and efficient image archiving and retrieval of medical data information against these cyberattacks is a challenging area for researchers in the field of e-health applications. Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications.

    • Hybrid Computational Intelligence

      • 1st Edition
      • March 5, 2020
      • Siddhartha Bhattacharyya + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 6 9 9 2
      • eBook
        9 7 8 0 1 2 8 1 8 7 0 0 5
      Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

    • OpenVX Programming Guide

      • 1st Edition
      • May 22, 2020
      • Frank Brill + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 4 2 5 9
      • eBook
        9 7 8 0 1 2 8 1 6 6 1 9 2
      OpenVX is the computer vision API adopted by many high-performance processor vendors. It is quickly becoming the preferred way to write fast and power-efficient code on embedded systems. OpenVX Programming Guidebook presents definitive information on OpenVX 1.2 and 1.3, the Neural Network, and other extensions as well as the OpenVX Safety Critical standard. This book gives a high-level overview of the OpenVX standard, its design principles, and overall structure. It covers computer vision functions and the graph API, providing examples of usage for the majority of the functions. It is intended both for the first-time user of OpenVX and as a reference for experienced OpenVX developers.

    • The Master Adaptive Learner

      • 1st Edition
      • September 29, 2019
      • William Cutrer + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 7 1 1 1 1 1
      • eBook
        9 7 8 0 3 2 3 7 1 1 1 4 2
      • eBook
        9 7 8 0 3 2 3 7 1 1 1 3 5
      • eBook
        9 7 8 0 3 2 3 7 1 1 1 2 8
      Tomorrow’s best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association’s MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers.

    • Examen clinique et sémiologie - Macleod

      • 1st Edition
      • April 3, 2019
      • J. Alastair Innes + 3 more
      • French
      • Paperback
        9 7 8 2 2 9 4 7 5 8 5 3 9
      • Paperback
        9 7 8 2 2 9 4 7 6 7 6 4 7
      • eBook
        9 7 8 2 2 9 4 7 5 9 3 6 9
      L’examen clinique est essentiel à l’identification d’une maladie et l’évaluation de son pronostic.Cet ouvrage de référence dans le monde médical anglo-saxon explique avec détail comment évaluer les symptômes d’un patient et établir un diagnostic au travers de l’anamnèse et de l’examen physique.Son objectif est d’aider l’étudiant à développer les compétences cliniques nécessaires à l’obtention d’une anamnèse claire et les compétences pratiques indispensables à la détection et l’interprétation des signes cliniques des maladies.Le livre est composé de quatre grandes parties :Anamnèse et examen physique : elle aborde les principes généraux d’une bonne interaction avec le patient, depuis les bases du recueil de l’anamnèse et de la réalisation d’un examen physique à l’utilisation de tableaux cliniques permettant des diagnostics.Sémiolog... par appareil : cette partie traite des symptômes et des signes selon une approche par système.Situations spécifiques : elle illustre l’application de ces compétences à des situations cliniques particulières.Mise en pratique : cette partie s’intéresse à l’application de ces compétences à la pratique quotidienne et propose des conseils pour s’y préparer efficacement.Il est également proposé dans chaque chapitre des exemples d’Examen Clinique Objectif Structuré correspondant à une méthode d’évaluation des étudiants très prisée dans les pays anglo-saxons. Ils consistent en une mise en situation pratique face à un mannequin ou un comédien jouant un scénario clinique court.Ce livre aborde également les différentes étapes de chaque examen qui sont présentées de manière détaillée, étayées de nombreux encadrés et illustrations. Il est particulièrement adapté aux étudiants en DFGSM2-DFGSM3 dans le cadre de l’enseignement thématique « Sémiologie générale » et les enseignements intégrés par système (sémiologie clinique) mais également aux étudiants en pharmacie. Il intéressera également les étudiants en DFASM préparant les ECNi mais aussi les enseignants et praticiens désireux de mettre à jour leurs connaissances.

    • Advances in Computers

      • 1st Edition
      • Volume 112
      • January 8, 2019
      • English
      • Hardback
        9 7 8 0 1 2 8 1 5 1 2 1 1
      • eBook
        9 7 8 0 1 2 8 1 5 1 2 2 8
      Advances in Computers, Volume 112, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. Chapters in this updated volume include Mobile Application Quality Assurance, Advances in Combinatorial Testing, Advances in Applications of Object Constraint Language for Software Engineering, Advances in Techniques for Test Prioritization, Data Warehouse Testing, Mutation Testing Advances: An Analysis and Survey, Event-Based Concurrency: Applications, Abstractions, and Analyses, and A Taxonomy of Software Integrity Protection Techniques.

    • Careers in Biomedical Engineering

      • 1st Edition
      • January 31, 2019
      • Michael Levin-Epstein
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 8 1 6 7
      • eBook
        9 7 8 0 1 2 8 1 4 8 1 7 4
      Careers in Biomedical Engineering offers readers a comprehensive overview of new career opportunities in the field of biomedical engineering. The book begins with a discussion of the extensive changes which the biomedical engineering profession has undergone in the last 10 years. Subsequent sections explore educational, training and certification options for a range of subspecialty areas and diverse workplace settings. As research organizations are looking to biomedical engineers to provide project-based assistance on new medical devices and/or help on how to comply with FDA guidelines and best practices, this book will be useful for undergraduate and graduate biomedical students, practitioners, academic institutions, and placement services.

    • Model Management and Analytics for Large Scale Systems

      • 1st Edition
      • September 14, 2019
      • Bedir Tekinerdogan + 4 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 6 4 9 9
      • eBook
        9 7 8 0 1 2 8 1 6 6 5 0 5
      Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management.

    • Handbook of Medical Image Computing and Computer Assisted Intervention

      • 1st Edition
      • October 18, 2019
      • S. Kevin Zhou + 2 more
      • English
      • Hardback
        9 7 8 0 1 2 8 1 6 1 7 6 0
      • eBook
        9 7 8 0 1 2 8 1 6 5 8 6 7
      Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention.

    • Feature Extraction and Image Processing for Computer Vision

      • 4th Edition
      • November 17, 2019
      • Mark Nixon + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 9 7 6 8
      • eBook
        9 7 8 0 1 2 8 1 4 9 7 7 5
      Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

Related subjects

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