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Synonyme wurden verwendet für: Lernen • maschinelles Lernen
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    Preliminary evidence of dynamic muscular synergies in human grasping

    Freier Zugriff
    Castellini, Claudio / van der Smagt, Patrick | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2011
    Schlagwörter: machine learning

    TUDOR tip position control with Neural Networks

    Experiment/Model Test
    Malzahn, Jörn / Phung, Anh Son / Hoffmann, Frank et al. | TIB AV-Portal | 2011
    Schlagwörter: machine learning

    Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2014
    Schlagwörter: Machine Learning

    Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic

    Sadovsky, A. V. | AIAA | 2014
    Schlagwörter: Machine Learning

    Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2016
    Schlagwörter: Machine Learning

    Flight Extraction and Phase Identification for Large Automatic Dependent Surveillance–Broadcast Datasets

    Sun, Junzi / Ellerbroek, Joost / Hoekstra, Jacco | AIAA | 2017
    Schlagwörter: Machine Learning

    Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

    Freier Zugriff
    Runge, Jakob | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: machine learning

    A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets

    Cheung, Catherine / Sehgal, Srishti / Valdés, Julio J. | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Changing the Philosophy of Full-Scale-Fatigue-Tests Derived from 50 Years of IABG Experience Towards a Virtual Environment

    Hilfer, Gerhard / Tusch, Olaf / Wu, Don et al. | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Modeling of aircraft fuel consumption using machine learning algorithms

    Baumann, S. / Klingauf, U. | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

    Freier Zugriff
    Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Springer Verlag | 2020
    Schlagwörter: Machine-learning

    Journal of Aerospace Information Systems 2020 Year-End Review

    AIAA | 2020
    Schlagwörter: Machine Learning

    Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

    Freier Zugriff
    Band, Shahab S. / Janizadeh, Saeid / Chandra Pal, Subodh et al. | BASE | 2020
    Schlagwörter: Maschinelles Lernen , deep learning neural network

    Review of Advanced Driver Assistance Systems and Their Applications for Collision Avoidance in Urban Driving Scenario

    Narkhede, Manish M. / Chopade, Nilkanth B. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine Learning

    Federated Learning for Spanish Ports as an Aid to Digitization

    Freier Zugriff
    González Cancelas Nicoleta / Molina Serrano Beatriz / Soler Flores Francisco | DOAJ | 2021
    Schlagwörter: machine learning , federated learning

    Machine Learning Based Approach to a Crane Load Estimation

    Freier Zugriff
    Smoczek Jarosław / Hyla Paweł / Kusznir Tom | DOAJ | 2021
    Schlagwörter: machine learning

    Enabling Limited Resource-Bounded Disjunction in Scheduling

    Agrawal, Jagriti / Chi, Wayne / Chien, Steve et al. | AIAA | 2021
    Schlagwörter: Machine Learning

    Journal of Aerospace Information Systems 2021 Year-End Review

    AIAA | 2021
    Schlagwörter: Machine Learning

    Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings

    Mkhoyan, Tigran / de Visser, Coen C. / De Breuker, Roeland | AIAA | 2021
    Schlagwörter: Machine Learning

    Evaluation of the aircraft fuel economy using advanced statistics and machine learning

    Freier Zugriff
    Baumann, S. / Neidhardt, T. / Klingauf, U. | Springer Verlag | 2021
    Schlagwörter: Machine learning

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