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1–50 von 101 Ergebnissen
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    Introduction to the Virtual Collection on Machine Learning in Aerospace

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

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

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

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

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

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

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

    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

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

    Data-Driven Model to Predict Aircraft Vibration Environment

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

    Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects

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

    Causal Analysis of Flowfields Using Clustering Entropy

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

    Enabling Limited Resource-Bounded Disjunction in Scheduling

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

    Machine Learning Approach for Identification of Microstructure–Process Linkages

    Acar, Pinar | AIAA | 2019
    Schlagwörter: Machine Learning

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

    Pugliatti, Mattia / Franzese, Vittorio / Topputo, Francesco | AIAA | 2021
    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

    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

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

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

    Power Setting Estimation of Departing Civil Jet Aircraft Based on Machine Learning

    Meister, Jonas | AIAA | 2024
    Schlagwörter: Machine Learning

    Defect Diagnosis in Solid Rocket Motors Using Sensors and Deep Learning Networks

    Liu, Dongxu / Sun, Lizhi / Miller, Timothy C. | AIAA | 2020
    Schlagwörter: Machine Learning

    Efficient Model Updating Method for System Identification Using a Convolutional Neural Network

    Sung, Heejun / Chang, Seongmin / Cho, Maenghyo | AIAA | 2021
    Schlagwörter: Machine Learning

    Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements

    Tikayat Ray, Archana / Pinon Fischer, Olivia J. / White, Ryan T. et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Fatigue Damage Diagnostics–Prognostics Framework for Remaining Life Estimation in Adhesive Joints

    Reddy Lyathakula, Karthik / Yuan, Fuh-Gwo | AIAA | 2022
    Schlagwörter: Machine Learning

    Machine Learning Gyro Calibration Method Based on Attitude Estimation

    Peng, Hao / Bai, Xiaoli | AIAA | 2021
    Schlagwörter: Machine Learning

    Noise-Suppressed Temperature Measurement Based on Machine Learning in a Scramjet Combustor

    Xu, Wanqian / Zhang, Junlong / Zhong, Chenguang et al. | AIAA | 2021
    Schlagwörter: Machine Learning

    Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design

    Li, Runze / Zhang, Yufei / Chen, Haixin | AIAA | 2024
    Schlagwörter: Machine Learning

    Database Development and Component Design with Two-Dimensional Trusslike Microstructures

    McMillan, Kiara / Acar, Pinar | AIAA | 2021
    Schlagwörter: Machine Learning

    Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations

    Andrade, Sequoia / Walsh, Hannah S. | AIAA | 2023
    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

    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

    Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data

    Kumar, Ajit / Ghosh, Ajoy Kanti | AIAA | 2018
    Schlagwörter: Machine Learning

    Machine Learning to Classify Vortex Wakes of Energy Harvesting Oscillating Foils

    Ribeiro, Bernardo Luiz R. / Franck, Jennifer A. | AIAA | 2022
    Schlagwörter: Machine Learning

    Experimental Investigation of On-Ground Flightworthiness Determination for Modular Vertical Lift Vehicles

    Warner, Jonathan / Rogers, Jonathan | AIAA | 2019
    Schlagwörter: Machine Learning

    Uncertainty Quantification of Metallic Microstructures with Analytical and Machine Learning Based Approaches

    Hasan, Mahmudul / Acar, Pinar | AIAA | 2021
    Schlagwörter: Machine Learning

    Detecting Under-Resolved Flow Physics Using Supervised Machine Learning

    Hedayat, Amirpasha / Ollivier-Gooch, Carl | AIAA | 2023
    Schlagwörter: Machine Learning

    Performance Evaluation of Damaged Blades Using Numerical Simulation and Machine Learning

    He, Qingfu / Liu, Yafei / Chi, Zhongran et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Data-Driven Modeling for Transonic Aeroelastic Analysis

    Fonzi, Nicola / Brunton, Steven L. / Fasel, Urban | AIAA | 2023
    Schlagwörter: Machine Learning

    Modeling the Surface Pressure Spectrum Beneath Turbulent Boundary Layers in Pressure Gradients

    Fritsch, Daniel J. / Vishwanathan, Vidya / Roy, Christopher J. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Basic Research Perspective on Quantum Information Science for the Aerospace Community

    Metcalfe, Grace D. / Tabakov, Boyan / Nguyen, Tristan et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Wave Detection and Tracking Within a Rotating Detonation Engine Through Object Detection

    Johnson, Kristyn B. / Ferguson, Donald H. / Nix, Andrew C. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin

    Zhou, Xuan / He, Shuangxin / Dong, Leiting et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Extraction of Pendulum Model Parameters from Steady-State Slosh Data in Diaphragm Tanks

    Gao, Tengjie / Gutierrez, Hector M. / Kirk, Daniel R. et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Generative Adversarial Networks for Inverse Design of Two-Dimensional Spinodoid Metamaterials

    Liu, Sheng / Acar, Pınar | AIAA | 2024
    Schlagwörter: Machine Learning

    Common Proper Orthogonal Decomposition-Based Spatiotemporal Emulator for Design Exploration

    Yeh, Shiang-Ting / Wang, Xingjian / Sung, Chih-Li et al. | AIAA | 2018
    Schlagwörter: Machine Learning

    Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles

    Warner, Jonathan / Rogers, Jonathan | AIAA | 2018
    Schlagwörter: Machine Learning

    Framework for Offline Data-Driven Aircraft Fault Diagnosis

    Dahleni Kraemer, Aline / Villani, Emilia | AIAA | 2024
    Schlagwörter: Machine Learning

    Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data

    de Silva, Brian M. / Callaham, Jared / Jonker, Jonathan et al. | AIAA | 2021
    Schlagwörter: Machine Learning