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Computational Intelligence Techniques eBook-reihen

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  • Smart Computational Intelligence in Biomedical and Health Informatics

    Serien series Computational Intelligence Techniques
    Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and Lesen Sie mehr

    € 61,91

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    18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings

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    This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.*The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and Lesen Sie mehr

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  • Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

    Techniques and Applications

    Serien series Biomedical Engineering
    Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and Lesen Sie mehr

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  • Deep Learning for Medical Applications with Unique Data

    Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, Lesen Sie mehr

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  • Fundamentals and Methods of Machine and Deep Learning

    Algorithms, Tools, and Applications

    Bearbeitet von Pradeep Singh
    FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNINGThe book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development Lesen Sie mehr

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  • Artificial Intelligence and Machine Learning for Healthcare

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    Serien series Engineering (R0)
    In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization Lesen Sie mehr

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  • Tele-Healthcare

    Applications of Artificial Intelligence and Soft Computing Techniques

    TELE-HEALTHCAREThis book elucidates all aspects of tele-healthcare which is the application of AI, soft computing, digital information, and communication technologies, to provide services remotely and manage one’s healthcare.Throughout the world, there are huge developing crises with respect to healthcare workforce shortages, as well as a growing burden of chronic diseases. As a result, e-health Lesen Sie mehr

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  • Computational Intelligence Aided Systems for Healthcare Domain

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  • Machine Learning for Healthcare

    Handling and Managing Data

    Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them.Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply Lesen Sie mehr

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