Skip to main content

Books in Computer science

1-10 of 3203 results in All results

Federated Learning for Medical Imaging

  • 1st Edition
  • Xiaoxiao Li, Ziyue Xu + 1 more
  • Xiaoxiao Li, Ziyue Xu and Huazhu Fu
  • October 1, 2024
  • 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.
Federated Learning for Medical Imaging

The Core Network for 5G Advanced

  • 2nd Edition
  • Lars Frid, Catherine Mulligan + 4 more
  • Lars Frid, Catherine Mulligan, Magnus Olsson + 3 more
  • October 1, 2024
  • 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
The Core Network for 5G Advanced

Handbook of Statistical Analysis

  • 3rd Edition
  • Robert Nisbet, Gary D. Miner + 1 more
  • Robert Nisbet, Gary D. Miner and Keith McCormick
  • September 16, 2024
  • 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.
Handbook of Statistical Analysis

Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disease

  • 1st Edition
  • Valentina Rapozzi, Luigi Xodo + 1 more
  • Valentina Rapozzi, Luigi Xodo and Benjamin Bonavida
  • September 15, 2024
  • 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.
Therapeutic Applications of Nitric Oxide in Cancer and Inflammatory Disease

Data Analytics for Intelligent Transportation Systems

  • 2nd Edition
  • Mashrur Chowdhury, Amy Apon + 1 more
  • Mashrur Chowdhury, Amy Apon and Kakan Dey
  • September 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 8 7 8 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 8 7 9 - 9
Data Analytics for Intelligent Transportation Systems, Second Edition provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Other sections provide extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies.All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. In addition, they will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.
Data Analytics for Intelligent Transportation Systems

Medical Oncology Compendium

  • 1st Edition
  • Ramon Andrade B de Mello
  • Ramon Andrade B de Mello
  • September 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 0 9 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 0 8 - 3
Medical Oncology Compendium discusses several important topics in oncology by leading experts worldwide who incorporates not only knowledge on recent developments in the field, but contextualize them within diverse socio-economic environments to guarantee the applicability of the content in challenging scenarios. It comprehensively discusses topics such as surgery, radiology, carcinogenesis, screening, assessment tools, evidence-based medicine, and precision oncology as applicable to different cancer types as non-small and small cell lung cancer, mesothelioma, breast cancer, gastric-rectal cancer, female specific cancers, prostate, skin and bone sarcomas. In addition, it discusses options to minimize oncology pain and palliative care. It is a valuable resource for oncologists, clinicians, researchers, healthcare workers and members of biomedical field who needs to understand more about diagnosis, treatment options and support for cancer patients.
Medical Oncology Compendium

Uncertainty in Computational Intelligence-Based Decision Making

  • 1st Edition
  • Ali Ahmadian, Soheil Salahshour + 2 more
  • Ali Ahmadian, Soheil Salahshour, Valentina Emila Balas + 1 more
  • September 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 4 7 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 4 7 6 - 9
Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others.The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.
Uncertainty in Computational Intelligence-Based Decision Making

Primer to Neuromorphic Computing

  • 1st Edition
  • Harish Garg, Jyotir Moy Chatterjee + 2 more
  • Harish Garg, Jyotir Moy Chatterjee, R Sujatha + 1 more
  • September 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 4 8 0 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 4 8 2 - 0
Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture.Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains.
Primer to Neuromorphic Computing

Computational Knowledge Vision

  • 1st Edition
  • Wenbo Zheng + 1 more
  • Wenbo Zheng and Fei-Yue Wang
  • September 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 6 1 9 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 6 1 8 - 3
Computational Knowledge Vision: The First Footprints presents a novel advanced framework which combines structuralized knowledge and visual models—Computational Knowledge Vision. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determine whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception.Computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems. Currently, computer vision systems are highly specialized and very limited in their ability to do visual reasoning and causal inference. We need task-specific designs and large amounts of labeled training data for model training. However, the models trained in this way still lack a general understanding of common sense that is obvious to the average adult and cannot describe the workings of our physical and social worlds. Humans can thoroughly understand visual scenes because of priori knowledge from many domains and can learn and reason effectively based on their knowledge. Questions naturally arise (1) how can human knowledge be incorporated with visual models? (2) how does human knowledge promote the performance of visual models? To address these problems, Computational Knowledge Vision: The First Footprints proposes a new framework for computer vision– computational knowledge vision.
Computational Knowledge Vision

The Evolution of Immunotherapy Against Tumors

  • 1st Edition
  • Domenico Ribatti
  • Domenico Ribatti
  • September 1, 2024
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 7 9 8 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 7 9 9 - 9
The Evolution of Immunotherapy Against Tumors: An Historical Approach summarizes the literature concerning the development of the theory of immune surveillance against tumors. It discusses the evidence for and against this theory, along with the concept of immunoediting. Finally, current approaches in anti-tumor immunotherapy will be analyzed.The immune system plays a major role in the surveillance against tumors. To avoid attack from the immune system, tumor cells develop different strategies to escape immune surveillance. Evidence of immune surveillance comes from both animal models and clinical observations. Mice with a wide variety of immunodeficiencies have a high rate of tumor incidence and are more susceptible to transplanted or chemical carcinogen-induced tumors. Immunosuppressed patients have a high incidence of tumors. However, many patients develop cancer even in the presence of an apparently normal immune system. This indicates that tumor cells can escape immune surveillance.
The Evolution of Immunotherapy Against Tumors