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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

    • High-Order Models in Semantic Image Segmentation

      • 1st Edition
      • June 22, 2023
      • Ismail Ben Ayed
      • English
      • Hardback
        9 7 8 0 1 2 8 0 5 3 2 0 1
      • eBook
        9 7 8 0 1 2 8 0 9 2 2 9 3
      High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging.

    • Artificial Intelligence in the Age of Neural Networks and Brain Computing

      • 2nd Edition
      • October 10, 2023
      • Robert Kozma + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 6 1 0 4 2
      • eBook
        9 7 8 0 3 2 3 9 5 8 1 6 5
      Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.

    • Reachable Sets of Dynamic Systems

      • 1st Edition
      • April 21, 2023
      • Stanislaw Raczynski
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 3 8 4 8
      • eBook
        9 7 8 0 4 4 3 1 3 3 8 3 1
      Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models.

    • Explainable Deep Learning AI

      • 1st Edition
      • February 20, 2023
      • Jenny Benois-Pineau + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 6 0 9 8 4
      • eBook
        9 7 8 0 3 2 3 9 9 3 8 8 3
      Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented.

    • 5G/5G-Advanced

      • 3rd Edition
      • November 21, 2023
      • Erik Dahlman + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 1 7 3 8
      • eBook
        9 7 8 0 4 4 3 1 3 1 7 4 5
      5G Advanced: The Next Generation Wireless Access Technology, Third Edition follows the authors' highly celebrated books on 3G and 4G by providing a new level of insight into 5G NR. After an initial discussion of the background to 5G, including requirements, spectrum aspects and the standardization timeline, all technology features of the first phase of NR are described in detail. Included is a detailed description of the NR physical-layer structure and higher-layer protocols, RF and spectrum aspects and co-existence and interworking with LTE. This book provides a good understanding of NR and the different NR technology components, giving insight into why a certain solution was selected.

    • pH Deregulation as the Eleventh Hallmark of Cancer

      • 1st Edition
      • June 30, 2023
      • Tomas Koltai + 6 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 4 6 1 4
      • eBook
        9 7 8 0 4 4 3 1 5 4 6 2 1
      pH Deregulation as the Eleventh Hallmark of Cancer presents key concepts about pH deregulation in a concise and straight-forward manner. The book discusses topics such as pH regulation and metabolism, sodium hydrogen exchanger, monocarboxylate transporter, V-ATPase proton pump, carbonic anhydrases, and voltage gated sodium channels. In addition, it covers clinical and therapeutic implications and future perspectives. This is a valuable resource for researchers, oncologists, students and members of the biomedical and medical fields who want to learn more about the role of pH deregulation in cancer treatment. pH deregulation can improve the outcome of classical treatments without adding toxicity to them, and the book shows that treating the pH peculiarities of cancer is simple and can be performed with existing drugs. Based on the classification of tumor malignancy in ten hallmarks, the authors put pH deregulation at the spotlight and separated from metabolic reprogramming due to its impact on all other hallmarks, proposing it as an additional characteristic to evaluate and fight cancer.

    • Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems

      • 1st Edition
      • January 10, 2023
      • Bharat Bhushan + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 1 9 9 5
      • eBook
        9 7 8 0 3 2 3 9 9 3 9 1 3
      Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data technologies to aid better decision-making, processing and analysis of large amounts of data collected through IoT. This book series targets the adaptation of decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures, as well as big data and Internet of Things (IoT) problems can be handled in practice. Current Internet of Things (IoT) based healthcare systems are incapable of sharing data between platforms in an efficient manner and holding them securely at the logical and physical level. To this end, blockchain technology guarantees a fully autonomous and secure ecosystem by exploiting the combined advantages of smart contracts and global consensus. However, incorporating blockchain technology in IoT healthcare systems is not easy. Centralized networks in their current capacity will be incapable to meet the data storage demands of the incoming surge of IoT based healthcare wearables.

    • Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy

      • 1st Edition
      • November 23, 2023
      • Awesh K. Yadav + 2 more
      • Awesh K. Yadav + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 3 0 3 0
      • eBook
        9 7 8 0 3 2 3 9 5 3 0 4 7
      Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy explores the design, synthesis, and application of different multifunctional nanocomposites drug delivery system for cancer treatment. It encompasses initial chapters discussing introductory information about cancer, followed by chapters focusing on the detailed information about various novel drug delivery systems for treatment of several organ site cancers such as prostate, skin, breast, lung, liver, pancreas, stomach, colon, blood, mouth and throat. It is a valuable resource for cancer researchers, oncologists, graduate students, and members of biomedical research who need to understand more about novel nanotechnologies applied to cancer treatment.

    • Biostatistics Manual for Health Research

      • 1st Edition
      • April 19, 2023
      • Nafis Faizi + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 8 5 5 0 2
      • eBook
        9 7 8 0 4 4 3 1 8 5 5 1 9
      **Selected for Doody’s Core Titles® 2024 in Biostatistics**Biost... Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.

    • Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images

      • 1st Edition
      • November 16, 2023
      • D. Jude Hemanth
      • English
      Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images.The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications.

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