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    Semi-Supervised Active Learning for Anomaly Detection in Aviation

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

    Introduction to the Virtual Collection on Machine Learning in Aerospace

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

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

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

    Deeper Learning Needed from Machine Learning

    AIAA | 2023
    Keywords: Machine Learning

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

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

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

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

    Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games

    Strickland, Laura G. / Gombolay, Matthew C. | AIAA | 2023
    Keywords: 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
    Keywords: Deep Learning , Machine Learning

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

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

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

    Yan, Lang / Chang, Xinghua / Wang, Nianhua et al. | AIAA | 2023
    Keywords: Reinforcement Learning , Deep Reinforcement 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
    Keywords: Reinforcement Learning , Multi-Objective Reinforcement Learning

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

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

    Mathematics-Informed Neural Network for Acoustic Scattering by Parallel Plates

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

    Run Time Assured Reinforcement Learning for Safe Satellite Docking

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

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

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

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

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

    Deep Learning Closure of the Navier–Stokes Equations for Transition-Continuum Flows

    Nair, Ashish S. / Sirignano, Justin / Panesi, Marco et al. | AIAA | 2023
    Keywords: Machine Learning

    Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network

    Liu, Ye / Ng, Kam K. H. / Chu, Nana et al. | AIAA | 2023
    Keywords: Deep Learning

    Machine-Learning-Based Rotating Detonation Engine Diagnostics: Evaluation for Application in Experimental Facilities

    Johnson, Kristyn B. / Ferguson, Don / Nix, Andrew | AIAA | 2023
    Keywords: Machine Learning

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

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

    Selecting Minimal Motion Primitive Libraries with Genetic Algorithms

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

    Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning

    Braun, David / Marb, Michael M. / Angelov, Jorg et al. | AIAA | 2023
    Keywords: Reinforcement Learning

    Scalable Massively Parallel Artificial Neural Networks

    Long, Lyle N. / Gupta, Ankur | AIAA | 2008
    Keywords: Machine Learning

    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

    Giraldo-Grueso, Felipe / Popov, Andrey A. / Zanetti, Renato | AIAA | 2024
    Keywords: Machine Learning

    Prefetch and Push Method of Flight Information Based on Migration Workflow

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

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

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

    Data-Driven Model to Predict Aircraft Vibration Environment

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

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

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

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

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

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

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

    Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys

    Kirkpatrick, Kenton / Valasek, John | AIAA | 2009
    Keywords: Reinforcement Learning

    Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects

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

    Enabling Limited Resource-Bounded Disjunction in Scheduling

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

    Causal Analysis of Flowfields Using Clustering Entropy

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

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

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

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

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

    Terminal Iterative Learning Control for Autonomous Aerial Refueling Under Aerodynamic Disturbances

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

    Autonomous Reconnaissance Trajectory Guidance at Small Near-Earth Asteroids via Reinforcement Learning

    Takahashi, Shota / Scheeres, Daniel J. | AIAA | 2023
    Keywords: Reinforcement Learning

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

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

    Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process

    Swischuk, Renee / Kramer, Boris / Huang, Cheng et al. | AIAA | 2020
    Keywords: Machine Learning

    Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning

    Kirkpatrick, Kenton / Valasek, John / Haag, Chris | AIAA | 2013
    Keywords: Reinforcement Learning