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Books in Computer science

1-10 of 3208 results in All results

Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

  • 1st Edition
  • October 1, 2024
  • Yacine Atif + 1 more
  • Fatos Xhafa + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 1 7 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 1 8 - 4
Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT) is a reference for IT engineers and decision-makers who may engage in IoT platform pilot projects. The resources covered in this book help establish plans for sustainable operations and management and assist with the long-term procurement of relevant IoT technologies. The aim of the book is to be exhaustive and holistic by pointing out numerous issues and related solution options that guide with daily challenges when deploying and running IoT platforms.The book is divided into three parts where each part includes relevant theoretical chapters and applied case studies. Part One focuses on architectural and federation options for the design and implementation of IoT platforms that foster strategic collaboration opportunities. Part Two addresses vertical security challenges across IoT platform layers. Finally, Part Three shows how IoT is driving the digital transformation wheel through existing and forthcoming case studies.

Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disease

  • 1st Edition
  • October 1, 2024
  • Valentina Rapozzi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 5 - 6
Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Diseases: Third International Conference on Therapeutic Application of Nitric Oxide in Cancer and Inflammatory Disorders presents updated information on the chemistry, signaling of newly derived therapeutic nitric oxide donors/inhibitors, and their complexes in liposomes or nanospheres in both pre-clinical and clinical activities.In six parts It discusses many examples of research related to the application of novel therapeutic compounds that focus on a chemical, nitric oxide, and their applications that have been shown to exert significant therapeutic activities against various resistant cancers unresponsive to current treatments, and different inflammatory diseases which continue to require novel treatments.It is a valuable resource for cancer researchers, oncologists, graduate students, and researchers from medical and biomedical fields who want to know more about NO and its therapeutic applications in cancer and inflammatory diseases. It is highly useful for both scientists and clinicians as well as pharmaceutical companies involved in the development of new anticancer/anti-inflammatory agents.

Federated Learning for Medical Imaging

  • 1st Edition
  • October 1, 2024
  • Xiaoxiao Li + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 6 4 1 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 6 4 2 - 6
Federated Learning for Medical Imaging: principles, algorithms and applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL. It shows how FL allows multiple medical institutes to collaboratively train and use a precise machine learning (ML) model without sharing private medical data via practical implantation guidance. The book includes real-world case studies and applications of FL, demonstrating how this technology can be used to solve complex problems in medical imaging. The book also provides an understanding of the challenges and limitations of FL for medical imaging, including issues related to data and device heterogeneity, privacy concerns, synchronization and communication, etc.Federated Learning for Medical Imaging: Principles, Algorithms and Applications is a complete resource for computer scientists and engineers as well as clinicians and medical care policy makers wanting to learn about the application of federated learning to medical imaging.

Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations

  • 1st Edition
  • October 1, 2024
  • Tshilidzi Marwala
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 2 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 3 - 0
Recent advances in AI and Mechanism Design provide a vital tool for solving collective action problems, common in international relations. By using AI to optimize mechanisms for cooperation and coordination, we can better address issues such as climate change, trade, and security. Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations shows readers how the intersection of Mechanism Design and Artificial Intelligence is revolutionizing the way we approach international relations. By using AI to optimize mechanisms, we can design better institutions, policies, and agreements that are more effective and efficient. Dr. Tshilidzi Marwala, United Nations University Rector and UN Under-Secretary General, presents the essential technologies used in Game Theory, Mechanism Design and AI and applies these to significant global issues such as interstate conflict, cybersecurity, and energy. International relations are a complex field, with many different actors and interests in play. By incorporating AI into our analysis and decision-making processes, we can better understand and predict the behavior of multiple actors and design mechanisms that take these behaviors into account, thereby producing more desirable and creative interdisciplinary approaches. The book presents real-world applications of these rapidly evolving technologies in crucial research fields such as Interstate Conflict, International Trade, Climate Change, Water management, Energy, cybersecurity, and global finance.

The Core Network for 5G Advanced

  • 2nd Edition
  • October 1, 2024
  • Lars Frid + 5 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 9 1 8 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 9 1 8 9 - 0
The Core Network for 5G Advanced provides an overview of the 5G Core network architecture, as well as giving descriptions of cloud technologies and the key concepts in the 3GPP specifications. This book covers up to and including 3GPP release 17 & 18 which includes the core network for 5G Advanced as well as a large number of new features added by 3GPP to expand the initial 5G Core specifications in rel-15/16.New to this edition:A complete update to reflect developments in Releases 17 and 18 • 7 brand new chapters: Service Exposure, non-3GPP access, 3GPP access for new use cases, Edge computing, Industry and Enterprise features, Regulatory services and Network automation and AI/MLContent includesAn overview of the 5G Core ArchitectureThe Stand-Alone and Non-Stand-Alone ArchitecturesA detailed presentation of 5G Core key conceptsExtensive descriptions of advanced 5G features for different use cases such as industry, automotive and satellite networksA deep-dive into APIs for network service exposureAn overview of 5G Radio and Cloud technologiesLearn:The features and details of the latest 5G architectureThe content of the respective 3GPP releases 15/16/17 and 18How the interworking with previous network standards is definedThe new APIs defined to support application-to-network interactionDetails of the protocol and service descriptionsExamples of 5G network deployment options for different use cases Written by authors who are heavily involved in development of the 5G standards and who have written several successful books on 4G and 5G Core Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network

Caspases as Molecular Targets for Cancer Therapy

  • 1st Edition
  • September 23, 2024
  • Ankur Vaidya
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 4 4 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 4 5 - 8
Caspases as Molecular Targets for Cancer Therapy discusses recent developments on targeted therapies for cancer using caspases. It describes the selection of specific caspases for cancer therapy with the current standard-of-care and highlights numerous assay techniques for caspases activities.The book discusses topics such as mutations within apoptosis gene, inflammatory caspases, tumor suppression, and the different caspases types and their role in anticancer activity. In addition, it discusses caspases activity assay procedure and future perspectives.It is a valuable resource for researchers, students and members of the biomedical and medical fields who want to learn more about novel anticancer targeted therapies.

Handbook of Statistical Analysis

  • 3rd Edition
  • September 16, 2024
  • Robert Nisbet + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 8 4 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 8 4 6 - 9
Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems.

Distributed Optimization and Learning

  • 1st Edition
  • September 2, 2024
  • Zhongguo Li + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 6 3 6 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 6 3 7 - 4
Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.

High Performance Computing

  • 2nd Edition
  • September 1, 2024
  • Thomas Sterling + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 0 3 5 - 0
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 0 2 1 2 - 0
Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products.This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.