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  • Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics

    Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics offers a comprehensive exploration of innovative methodologies at the intersection of mathematics, biology, and medicine. This book delves into advanced mathematical modeling, artificial intelligence, and computational intelligence, providing essential tools for understanding and managing complex ... Leer más

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  • Artificial Higher Order Neural Networks for Modeling and Simulation

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    With artificial neural network research being one of the new directions for new generation computers, current research suggests that open-box artificial higher order neural networks (HONNs) play an important role in this new direction. Artificial Higher Order Neural Networks for Modeling and Simulation introduces artificial Higher Order Neural Networks (HONNs) to professionals working in the ... Leer más

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  • Medical Applications of Intelligent Data Analysis: Research Advancements

    One major challenge facing modern medicine is to fulfill the promise and potential of the enormous increase in medical data sets of all kinds. Medical Applications of Intelligent Data Analysis: Research Advancements explores the potential of utilizing this medical data through the implementation of developed models in practical applications. This premier reference source features chapters ... Leer más

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  • Deep Learning for Medical Image Analysis

    Series series The MICCAI Society book Series
    Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives ... Leer más

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  • Biomedical Texture Analysis

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    Series series The MICCAI Society book Series
    Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to ... Leer más

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  • Explainable Deep Learning AI

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  • Computer Vision: Concepts, Methodologies, Tools, and Applications

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  • Multi-Criteria Decision Making for the Management of Complex Systems

    While there are many different models for performing system analysis, the multi-criteria decision making method has proven to be one of the most efficient. By analyzing the key concepts of this theory, the technique can be enhanced and will benefit future organizations and companies in novel ways. Multi-Criteria Decision Making for the Management of Complex Systems provides a comprehensive ... Leer más

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  • Handbook of Research on Applied Cybernetics and Systems Science

    In the digital era, novel applications and techniques in the realm of computer science are increasing constantly. These innovations have led to new techniques and developments in the field of cybernetics. The Handbook of Research on Applied Cybernetics and Systems Science is an authoritative reference publication for the latest scholarly information on complex concepts of more adaptive and self ... Leer más

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  • Image Analysis and Recognition

    14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017.The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for ... Leer más

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  • Guide to Medical Image Analysis

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    Series series Computer Science (R0)
    This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the ... Leer más

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