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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

    • Machine Reading Comprehension

      • 1st Edition
      • March 20, 2021
      • Chenguang Zhu
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 1 1 8 5
      • eBook
        9 7 8 0 3 2 3 9 0 1 1 9 2
      Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretical treatment to solutions and gives detailed analysis of code, and considers applications in real-world industry. The book includes basic concepts, tasks, datasets, NLP tools, deep learning models and architecture, and insight from hands-on experience. In addition, the title presents the latest advances from the past two years of research. Structured into three sections and eight chapters, this book presents the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and academia who are looking to understand and deploy machine reading comprehension within natural language processing.

    • Up and Running with AutoCAD 2022

      • 1st Edition
      • August 14, 2021
      • Elliot J. Gindis + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 9 9 2 3 9
      • eBook
        9 7 8 0 3 2 3 8 8 6 0 1 7
      • eBook
        9 7 8 0 3 2 3 9 0 0 0 0 3
      Up and Running with AutoCAD 2022: 2D and 3D Drawing, Design and Modeling presents a combination of step-by-step instruction, examples and insightful explanations. The book emphasizes core concepts and practical application of AutoCAD in engineering, architecture and design. Equally useful in instructor-led classroom training, self-study or as a professional reference, the book is written by a long-time AutoCAD professor and instructor with the user in mind.

    • Computer-Aided Oral and Maxillofacial Surgery

      • 1st Edition
      • April 29, 2021
      • Jan Egger + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 2 9 9 6
      • eBook
        9 7 8 0 1 2 8 2 3 4 2 3 5
      Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives is an ideal resource for biomedical engineers and computer scientists, clinicians and clinical researchers looking for an understanding on the latest technologies applied to oral and maxillofacial surgery. In facial surgery, computer-aided decisions supplement all kind of treatment stages, from a diagnosis to follow-up examinations. This book gives an in-depth overview of state-of-the-art technologies, such as deep learning, augmented reality, virtual reality and intraoperative navigation, as applied to oral and maxillofacial surgery. It covers applications of facial surgery that are at the interface between medicine and computer science. Examples include the automatic segmentation and registration of anatomical and pathological structures, like tumors in the facial area, intraoperative navigation in facial surgery and its recent developments and challenges for treatments like zygomatic implant placement.

    • Handbook of Pediatric Brain Imaging

      • 1st Edition
      • Volume 2
      • October 27, 2021
      • Hao Huang + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 6 3 3 8
      • eBook
        9 7 8 0 1 2 8 1 6 6 4 2 0
      Handbook of Pediatric Brain Imaging: Methods and Applications presents state-of-the-art research on pediatric brain image acquisition and analysis from a broad range of imaging modalities, including MRI, EEG and MEG. With rapidly developing methods and applications of MRI, this book strongly emphasizes pediatric brain MRI, elaborating on the sub-categories of structure MRI, diffusion MRI, functional MRI, perfusion MRI and other MRI methods. It integrates a pediatric brain imaging perspective into imaging acquisition and analysis methods, covering head motion, small brain sizes, small cerebral blood flow of neonates, dynamic cortical gyrification, white matter tract growth, and much more.

    • Deep Learning Models for Medical Imaging

      • 1st Edition
      • September 7, 2021
      • KC Santosh + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 5 0 4 1
      • eBook
        9 7 8 0 1 2 8 2 3 6 5 0 5
      Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow ‘with’ and ‘without’ transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientist... to industrialists.

    • An Introduction to Parallel Programming

      • 2nd Edition
      • August 27, 2021
      • Peter Pacheco + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 6 0 5 0
      • eBook
        9 7 8 0 1 2 8 0 4 6 1 8 0
      An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.

    • Digital Design and Computer Architecture, RISC-V Edition

      • 1st Edition
      • July 12, 2021
      • Sarah Harris + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 6 4 3
      • eBook
        9 7 8 0 1 2 8 2 0 0 6 5 0
      The newest addition to the Harris and Harris family of Digital Design and Computer Architecture books, this RISC-V Edition covers the fundamentals of digital logic design and reinforces logic concepts through the design of a RISC-V microprocessor. Combining an engaging and humorous writing style with an updated and hands-on approach to digital design, this book takes the reader from the fundamentals of digital logic to the actual design of a processor. By the end of this book, readers will be able to build their own RISC-V microprocessor and will have a top-to-bottom understanding of how it works. Beginning with digital logic gates and progressing to the design of combinational and sequential circuits, this book uses these fundamental building blocks as the basis for designing a RISC-V processor. SystemVerilog and VHDL are integrated throughout the text in examples illustrating the methods and techniques for CAD-based circuit design. The companion website includes a chapter on I/O systems with practical examples that show how to use SparkFun’s RED-V RedBoard to communicate with peripheral devices such as LCDs, Bluetooth radios, and motors. This book will be a valuable resource for students taking a course that combines digital logic and computer architecture or students taking a two-quarter sequence in digital logic and computer organization/archite...

    • Cognitive Big Data Intelligence with a Metaheuristic Approach

      • 1st Edition
      • November 9, 2021
      • Sushruta Mishra + 4 more
      • English
      • Paperback
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      • eBook
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      Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.

    • Advanced Methods and Deep Learning in Computer Vision

      • 1st Edition
      • November 9, 2021
      • E. R. Davies + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 1 0 9 9
      • eBook
        9 7 8 0 1 2 8 2 2 1 4 9 5
      Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

    • Cognitive Data Models for Sustainable Environment

      • 1st Edition
      • September 19, 2021
      • Siddhartha Bhattacharyya + 4 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 0 3 8 0
      • eBook
        9 7 8 0 1 2 8 2 4 0 3 9 7
      Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitiv... models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood. The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers.

Related subjects

Applications

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Computing milieux

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