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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

    • MATLAB Programming for Biomedical Engineers and Scientists

      • 2nd Edition
      • May 24, 2022
      • Andrew P. King + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 7 7 3 4
      • eBook
        9 7 8 0 3 2 3 9 8 4 5 7 7
      MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB. The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more.

    • Health Systems Science Education: Development and Implementation

      • 1st Edition
      • Volume 4
      • September 9, 2022
      • Rosalyn Maben-Feaster + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 1 0 9 6 2
      • eBook
        9 7 8 0 4 4 3 1 1 1 4 4 0
      • eBook
        9 7 8 0 4 4 3 1 1 1 4 3 3
      Now taught in a majority of medical schools nationwide, health systems science (HSS) prepares learners for the health systems of the future—an essential topic in modern health care. Health Systems Science Education, part of the American Medical Association’s MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that that equips educators to not just teach health systems science, but to know how to integrate and implement HSS comprehensively and effectively across the curriculum. This change management-oriented volume.

    • Industrial Tomography

      • 2nd Edition
      • May 6, 2022
      • Mi Wang
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 0 1 5 2
      • eBook
        9 7 8 0 1 2 8 2 3 3 0 7 8
      Industrial Tomography: Systems and Applications, Second Edition thoroughly explores the important techniques of industrial tomography, also discusses image reconstruction, systems, and applications. This book presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines. This book is suitable for materials scientists and engineers and applied physicists working in the photonics and optoelectronics industry or in the applications industries.

    • Digital Image Enhancement and Reconstruction

      • 1st Edition
      • October 6, 2022
      • Shyam Singh Rajput + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 8 3 7 0 9
      • eBook
        9 7 8 0 3 2 3 9 8 5 7 8 9
      Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.

    • Artificial Intelligence and Data Science in Environmental Sensing

      • 1st Edition
      • February 9, 2022
      • Mohsen Asadnia + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 5 0 8 4
      • eBook
        9 7 8 0 3 2 3 9 0 5 0 7 7
      Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.

    • Programming Massively Parallel Processors

      • 4th Edition
      • May 28, 2022
      • Wen-mei W. Hwu + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 2 3 1 0
      • eBook
        9 7 8 0 3 2 3 9 8 4 6 3 8
      Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.

    • Measuring the User Experience

      • 3rd Edition
      • February 8, 2022
      • Bill Albert + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 0 8 0 8
      • eBook
        9 7 8 0 1 2 8 1 8 0 8 1 5
      *Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*Measuring the User Experience: Collecting, Analyzing, and Presenting UX Metrics, Third Edition provides the quantitative analysis training that students and professionals need. This book presents an update on the first resource that focused on how to quantify user experience. Now in its third edition, the authors have expanded on the area of behavioral and physiological metrics, splitting that chapter into sections that cover eye-tracking and measuring emotion. The book also contains new research and updated examples, several new case studies, and new examples using the most recent version of Excel.

    • Meeting the Challenges of Data Quality Management

      • 1st Edition
      • January 25, 2022
      • Laura Sebastian-Coleman
      • English
      • Paperback
        9 7 8 0 1 2 8 2 1 7 3 7 5
      • eBook
        9 7 8 0 1 2 8 2 1 7 5 6 6
      Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses.

    • Blockchain Applications for Healthcare Informatics

      • 1st Edition
      • May 20, 2022
      • Sudeep Tanwar
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 6 1 5 9
      • eBook
        9 7 8 0 3 2 3 9 0 8 2 9 0
      Blockchain Applications for Healthcare Informatics: Beyond 5G offers a comprehensive survey of 5G-enabled technology in healthcare applications. This book investigates the latest research in blockchain technologies and seeks to answer some of the practical and methodological questions surrounding privacy and security in healthcare. It explores the most promising aspects of 5G for healthcare industries, including how hospitals and healthcare systems can do better. Chapters investigate the detailed framework needed to maintain security and privacy in 5G healthcare services using blockchain technologies, along with case studies that look at various performance evaluation metrics, such as privacy preservation, scalability and healthcare legislation.

    • AI Computing Systems

      • 1st Edition
      • October 12, 2022
      • Yunji Chen + 5 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 3 9 9 3
      • eBook
        9 7 8 0 3 2 3 9 5 3 9 8 6
      AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time.

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