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1–20 von 217 Ergebnissen
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    Semi-Supervised Active Learning for Anomaly Detection in Aviation

    Memarzadeh, Milad / Matthews, Bryan / Templin, Thomas et al. | AIAA | 2023
    Schlagwörter: Feature Learning , Deep Learning , Active Learning

    Introduction to the Virtual Collection on Machine Learning in Aerospace

    Sunberg, Zach / Oh, Hyondong | AIAA | 2023
    Schlagwörter: Machine Learning

    Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control

    Gavra, Vlad / van Kampen, Erik-Jan | AIAA | 2024
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning

    Deep Reinforcement Learning-Based Periodic Earth Observation Scheduling for Agile Satellite Constellation

    Wang, Xin / Zhao, Fanyu / Shi, Zhong et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Deep Learning

    Deeper Learning Needed from Machine Learning

    AIAA | 2023
    Schlagwörter: Machine Learning

    Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations

    Liu, Ruifan / Shin, Hyo-Sang / Tsourdos, Antonios | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Robust Learning

    Investigation of Compressor Cascade Flow Using Physics-Informed Neural Networks with Adaptive Learning Strategy

    Li, Zhihui / Montomoli, Francesco / Sharma, Sanjiv | AIAA | 2024
    Schlagwörter: Deep Learning , Adaptive Learning

    Scalable Projection-Based Reduced-Order Models for Large Multiscale Fluid Systems

    Wentland, Christopher R. / Duraisamy, Karthik / Huang, Cheng | AIAA | 2023
    Schlagwörter: Machine Learning

    Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games

    Strickland, Laura G. / Gombolay, Matthew C. | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Deep 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

    Aerodynamic Identification and Control Law Design of a Missile Using Machine Learning

    Yan, Lang / Chang, Xinghua / Wang, Nianhua et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning

    Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

    Wei, Zhen / Guillard, Benoît / Fua, Pascal et al. | AIAA | 2023
    Schlagwörter: Deep Learning

    Designing Low-Thrust Transfers near Earth–Moon L 2 via Multi-Objective Reinforcement Learning

    Sullivan, Christopher J. / Bosanac, Natasha / Anderson, Rodney L. | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Multi-Objective Reinforcement Learning

    Mathematics-Informed Neural Network for Acoustic Scattering by Parallel Plates

    Liang, Sicong / Huang, Xun | AIAA | 2024
    Schlagwörter: Machine Learning

    Fast Buffet-Onset Prediction and Optimization Method Based on Pretrained Flowfield Prediction Model

    Yang, Yunjia / Li, Runze / Zhang, Yufei et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Run Time Assured Reinforcement Learning for Safe Satellite Docking

    Dunlap, Kyle / Mote, Mark / Delsing, Kaiden et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Impact Angle Control Guidance Considering Seeker’s Field-of-View Limit Based on Reinforcement Learning

    Lee, Sangmin / Lee, Youngjun / Kim, Youdan et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Data-Driven Nonintrusive Model-Order Reduction for Aerodynamic Design Optimization

    Moni, Abhijith / Yao, Weigang / Malekmohamadi, Hossein | AIAA | 2024
    Schlagwörter: Machine Learning

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

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