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    2. Machine Learning In Cardiovascular Disease

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    Andrew T. C. Sutton: Domain Generalization with Machine Learning in the NOvA Experiment, Buch

    Andrew T. C. Sutton
    Domain Generalization with Machine Learning in the NOvA Experiment

    Springer Theses

    This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or…

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    Ali Kaveh: Applications of Artificial Neural Networks and Machine Learning in Civil Engineering, Buch

    Ali Kaveh
    Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

    Studies in Computational Intelligence -Band 1168

    This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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    Krishna Garikipati: Data-driven Modelling and Scientific Machine Learning in Continuum Physics, Buch

    Krishna Garikipati
    Data-driven Modelling and Scientific Machine Learning in Continuum Physics

    Interdisciplinary Applied Mathematics -Band 60

    This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science specifically in continuum physics. It develops the foundations and details a num…

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    : Personalauswahl 4.0, Buch

    Personalauswahl 4.0

    Dieses Buch bietet einen umfassenden Einblick in die Wirkmechanismen der Digitalisierung innerhalb der Eignungsdiagnostik. Anwendungsorientiert beleuchtet es neueste Methoden und die im deutschsprachigen …

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    : Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing, Buch

    Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

    Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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    : Cardiovascular Disease in the Elderly, Buch

    Cardiovascular Disease in the Elderly

    Contemporary Cardiology

    The second edition of this book updates, reviews, and discusses the latest findings on the pathophysiology, diagnosis, and management of cardiovascular disease in the older patient. It explains the physio…

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    Vadim Smolyakov: Machine Learning Algorithms in Depth, Buch

    Vadim Smolyakov
    Machine Learning Algorithms in Depth

    Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implement…

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    : Cardiovascular Signaling in Health and Disease, Buch

    Cardiovascular Signaling in Health and Disease

    This contributed volume focuses on cardiovascular diseases (CVDs), and explores the ways in which signaling mechanisms at the biochemical, molecular, and cellular levels in the blood vessels (vascular) an…

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    : Machine Learning Approaches in Financial Analytics, Buch

    Machine Learning Approaches in Financial Analytics

    Intelligent Systems Reference Library -Band 254

    This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals…

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    Kundan Meshram: Machine Learning Applications in Civil Engineering, Buch

    Kundan Meshram
    Machine Learning Applications in Civil Engineering

    Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein intern…

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    : Innovations in Machine and Deep Learning, Buch

    Innovations in Machine and Deep Learning

    Studies in Big Data -Band 134

    In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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    Denisse L. Argote: Machine Learning for Archaeological Applications in R, Buch

    Denisse L. Argote, Manuel A. Torres­Garcia, Michael C. Thrun, Pedro A. Lopez­Garcia
    Machine Learning for Archaeological Applications in R

    This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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    : Machine Learning Applications in Medicine and Biology, Buch

    Machine Learning Applications in Medicine and Biology

    This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the li…

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    : Machine Learning Applications in Electronic Design Automation, Buch

    Machine Learning Applications in Electronic Design Automation

    This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of …

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    Denisse L. Argote: Machine Learning for Archaeological Applications in R, Buch

    Denisse L. Argote, Manuel A. Torres-­Garcia, Michael C. Thrun, Pedro A. Lopez-­Garcia
    Machine Learning for Archaeological Applications in R

    This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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    : Environmental Factors in the Pathogenesis of Cardiovascular Diseases, Buch

    Environmental Factors in the Pathogenesis of Cardiovascular Diseases

    Advances in Biochemistry in Health and Disease -Band 30

    Environmental conditions and processes are one of the major pillars on which the human well-being rests. It is the core responsibility of the society to preserve and enhance better conditions for the huma…

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    : Machine Learning for Small Bodies in the Solar System, Buch

    Machine Learning for Small Bodies in the Solar System

    Machine Learning for Small Bodies in the Solar System provides the latest developments and methods in applications of Machine Learning (ML) and Artificial Intelligence (AI) to different aspects of Solar S…

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    : Machine Learning and Knowledge Discovery in Databases. Research Track, Buch

    Machine Learning and Knowledge Discovery in Databases. Research Track

    Lecture Notes in Artificial Intelligence -Band 14947

    This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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    Michael Lutter: Inductive Biases in Machine Learning for Robotics and Control, Buch

    Michael Lutter
    Inductive Biases in Machine Learning for Robotics and Control

    Springer Tracts in Advanced Robotics -Band 156

    One important robotics problem is How can one program a robot to perform a task ? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In co…

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    : Machine Learning and Knowledge Discovery in Databases. Research Track, Buch

    Machine Learning and Knowledge Discovery in Databases. Research Track

    Lecture Notes in Artificial Intelligence -Band 14941

    This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

    lieferbar innerhalb 2-3 Wochen
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