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1–10 von 31 Ergebnissen
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    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

    Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets

    Dolph, Chester V. / Ippolito, Corey / Glaab, Louis J. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Application of Machine Learning to the Analysis and Assessment of Airport Operations

    Mangortey, Eugene / Pinon Fischer, Olivia / Mavris, Dimitri N. | AIAA | 2021
    Schlagwörter: Machine Learning

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

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

    Automated Aerial Docking System Using Onboard Vision-Based Deep Learning

    Choi, Andrew Jaeyong / Park, Jeonghwan / Han, Jae-Hung | AIAA | 2022
    Schlagwörter: Machine Learning

    Automated Spoken-to-Coded Pilot Weather Reports in General Aviation

    Gupta, Shantanu / Pitts, Brandon J. / Johnson, Mary E. | AIAA | 2024
    Schlagwörter: Machine Learning

    Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications

    Dunkel, Emily R. / Swope, Jason / Candela, Alberto et al. | AIAA | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea

    Kim, Junghyun / Kim, Seulki | AIAA | 2023
    Schlagwörter: Machine Learning

    Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning

    Xu, Jiaxin / Zhang, Junfeng / Peng, Zihan et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach

    Park, Junwoo / Bang, Hyochoong | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Machine Learning Control