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21–40 von 188 Ergebnissen
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    Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach

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

    Selecting Minimal Motion Primitive Libraries with Genetic Algorithms

    Goddard, Zachary C. / Wardlaw, Kenneth / Williams, Kyle et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Microstructure-Sensitive Deformation Modeling and Materials Design with Physics-Informed Neural Networks

    Hasan, Mahmudul / Ender Eger, Zekeriya / Senthilnathan, Arulmurugan et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Data-Driven Model to Predict Aircraft Vibration Environment

    Février, Stéphane / Nachar, Stéphane / Mathelin, Lionel et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Prefetch and Push Method of Flight Information Based on Migration Workflow

    Xu, Tao / Sun, Youchao | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions

    Shi, Junchuan / Okolo, Wendy A. / Wu, Dazhong | AIAA | 2023
    Schlagwörter: Transfer Learning

    Deep Learning for Real-Time Satellite Pose Estimation on Tensor Processing Units

    Lotti, Alessandro / Modenini, Dario / Tortora, Paolo et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Leveraging Machine Learning for Generating and Utilizing Motion Primitives in Adversarial Environments

    Goddard, Zachary C. / Rajasekar, Rithesh / Mocharla, Madhumita et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Swarm Intelligence in Cooperative Environments: n -Step Dynamic Tree Search Algorithm Overview

    Espinós Longa, Marc / Tsourdos, Antonios / Inalhan, Gokhan | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains

    Vidot, Guillaume / Gabreau, Christophe / Ober, Ileana et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects

    Piazza, Massimo / Maestrini, Michele / Di Lizia, Pierluigi | AIAA | 2022
    Schlagwörter: Machine Learning

    Enabling Limited Resource-Bounded Disjunction in Scheduling

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

    Causal Analysis of Flowfields Using Clustering Entropy

    Omata, Noriyasu / Tsutsumi, Seiji | AIAA | 2020
    Schlagwörter: Machine Learning

    Machine Learning Approach for Identification of Microstructure–Process Linkages

    Acar, Pinar | AIAA | 2019
    Schlagwörter: Machine Learning

    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 Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

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

    Terminal Iterative Learning Control for Autonomous Aerial Refueling Under Aerodynamic Disturbances

    Dai, Xunhua / Quan, Quan / Ren, Jinrui et al. | AIAA | 2018
    Schlagwörter: Iterative Learning Control

    Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data

    Emre Tekaslan, Huseyin / Nikbay, Melike | AIAA | 2023
    Schlagwörter: Deep Learning

    Data-Driven Image Processing for Onboard Optical Navigation Around a Binary Asteroid

    Pugliatti, Mattia / Franzese, Vittorio / Topputo, Francesco | AIAA | 2021
    Schlagwörter: Machine Learning