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1–50 von 103 Ergebnissen
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    A Closed-Form Correction for the Spalart–Allmaras Turbulence Model for Separated Flows

    Jäckel, Florian | AIAA | 2023
    Schlagwörter: Machine Learning

    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

    Aeroelastic Design and Comprehensive Analysis of Composite Rotor Blades Through Cluster-Based Kriging

    Lee, Dawoon / Kang, Yu-Eop / Kim, Do-Hyung et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Application of Artificial Neural Networks to Stochastic Estimation and Jet Noise Modeling

    Tenney, Andrew S. / Glauser, Mark N. / Ruscher, Christopher J. et al. | AIAA | 2020
    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

    Assessing the Impact of Metrics on the Choice of Prognostic Methodologies

    Bieber, Marie / Verhagen, Wim J. C. / Santos, Bruno F. | AIAA | 2024
    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

    Autonomous Flightworthiness Determination for Modular Vertical Lift Vehicles

    Warner, Jonathan / Rogers, Jonathan | AIAA | 2018
    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

    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

    B-Spline Surface-Based Reduced-Order Modeling of Nonplanar Crack Growth in Structural Digital Twins

    Zhao, Fubin / Zhou, Xuan / He, Shuangxin et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Causal Analysis of Flowfields Using Clustering Entropy

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

    Coaxial-Injector Surrogate Modeling Based on Reynolds-Averaged Navier–Stokes Simulations Using Deep Learning

    Krügener, M. / Zapata Usandivaras, J. F. / Bauerheim, M. et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Collective Sensitivity of Artificial Hair Sensors to Flow Direction

    Dehdashti, Esmaeil / Reich, Gregory W. / Masoud, Hassan | AIAA | 2021
    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

    Database Development and Component Design with Two-Dimensional Trusslike Microstructures

    McMillan, Kiara / Acar, Pinar | AIAA | 2021
    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

    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

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

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

    Data-Driven Modeling for Transonic Aeroelastic Analysis

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

    Data-Driven Model to Predict Aircraft Vibration Environment

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

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

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

    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

    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

    Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows

    Thuerey, Nils / Weißenow, Konstantin / Prantl, Lukas et al. | AIAA | 2019
    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

    Detecting Under-Resolved Flow Physics Using Supervised Machine Learning

    Hedayat, Amirpasha / Ollivier-Gooch, Carl | AIAA | 2023
    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

    Development of Deep Convolutional Neural Network for Structural Topology Optimization

    Seo, Junhyeon / Kapania, Rakesh K. | AIAA | 2022
    Schlagwörter: Machine Learning

    Domain Decomposition Strategy for Combining Nonlinear and Linear Reduced-Order Models

    Iyengar, Nikhil / Rajaram, Dushhyanth / Mavris, Dimitri | AIAA | 2024
    Schlagwörter: Machine Learning

    Dual-Input/Single-Output Extremum-Seeking System for Jet Control

    Wu, Z. / Wong, C. W. / Zhou, Y. | AIAA | 2018
    Schlagwörter: Machine Learning Control

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

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

    Enabling Limited Resource-Bounded Disjunction in Scheduling

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

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

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

    Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications

    Di Mascio, Stefano / Menicucci, Alessandra / Gill, Eberhard et al. | AIAA | 2023
    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

    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

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

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

    Flight Extraction and Phase Identification for Large Automatic Dependent Surveillance–Broadcast Datasets

    Sun, Junzi / Ellerbroek, Joost / Hoekstra, Jacco | AIAA | 2017
    Schlagwörter: Machine Learning

    Framework for Offline Data-Driven Aircraft Fault Diagnosis

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

    Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization

    Muesing, Jeremy / Ahmed, Nisar / Burks, Luke et al. | AIAA | 2021
    Schlagwörter: Automated Machine Learning

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

    Liu, Sheng / Acar, Pınar | 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

    Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning

    Na, Kyung-Mi / Lee, Chang-Hun | AIAA | 2023
    Schlagwörter: Machine Learning