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    Verification of Image-Based Neural Network Controllers Using Generative Models

    Katz, Sydney M. / Corso, Anthony L. / Strong, Christopher A. et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India

    Dasgupta, Nataraj | Elsevier | 2022
    Schlagwörter: Machine learning

    Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

    Surbhi Singh, Sumedha / Jeganathan, C. | Elsevier | 2023
    Schlagwörter: Ensemble machine learning

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

    Jain, Tanish / Misra, Shlok / Truong, Dothang | AIAA | 2022
    Schlagwörter: Machine Learning

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    Two-dimensional pose estimation of industrial robotic arms in highly dynamic collaborative environments

    Freier Zugriff
    Gulde, Thomas / Eberhard Karls Universität Tübingen | TIBKAT | 2022
    Schlagwörter: Deep learning , Maschinelles Sehen

    Trajectory classification in circular restricted three-body problem using support vector machine

    Li, Weipeng / Huang, Hai / Peng, Fujun | Elsevier | 2015
    Schlagwörter: Machine learning

    Time resolved study of laser triggered electric discharge spark in atmosphere: Machine learning approach

    Rabasovic, Maja S. / Marinkovic, Bratislav P. / Sevic, Dragutin | Elsevier | 2022
    Schlagwörter: Machine learning

    The Causality for Climate Challenge

    Freier Zugriff
    Runge, Jakob / Tibau Alberdi, Xavier Andoni / Bruhns, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: machine learning

    Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning

    Mordohai, Philippos / Medioni, Gérard | TIBKAT | 2006
    Schlagwörter: Machine learning

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