1–50 von 106 Ergebnissen
|

    Scalable Massively Parallel Artificial Neural Networks

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

    Airspace Sector Redesign Based on Voronoi Diagrams

    Xue, Min | AIAA | 2009
    Schlagwörter: Machine Learning

    Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings

    Boussemart, Yves / Cummings, Mary L. / Fargeas, Jonathan Las et al. | AIAA | 2011
    Schlagwörter: Machine Learning

    Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2014
    Schlagwörter: Machine Learning

    Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic

    Sadovsky, A. V. | AIAA | 2014
    Schlagwörter: Machine Learning

    Temporarily Captured Asteroids as a Pathway to Affordable Asteroid Retrieval Missions

    Urrutxua, Hodei / Scheeres, Daniel J. / Bombardelli, Claudio et al. | AIAA | 2015
    Schlagwörter: Machine Learning

    Local Reduced-Order Modeling and Iterative Sampling for Parametric Analyses of Aero-Icing Problems

    Zhan, Zhao / Habashi, Wagdi G. / Fossati, Marco | AIAA | 2015
    Schlagwörter: Machine Learning

    Real-Time Regional Jet Comprehensive Aeroicing Analysis via Reduced-Order Modeling

    Zhan, Zhao / Habashi, Wagdi G. / Fossati, Marco | AIAA | 2016
    Schlagwörter: Machine Learning

    Real-Time Computation of Safe Input Sequences for Unmanned Aerial Vehicles

    Eldad, Ofer / Claudel, Christian | AIAA | 2016
    Schlagwörter: Machine Learning

    Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2016
    Schlagwörter: Machine Learning

    Minimum-Time Attitude Control of Deformable Solar Sails with Model Uncertainty

    Eldad, Ofer / Lightsey, E. Glenn / Claudel, Christian | AIAA | 2017
    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

    Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils

    Singh, Anand Pratap / Medida, Shivaji / Duraisamy, Karthik | AIAA | 2017
    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

    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

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

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

    Machine Learning Approach for Identification of Microstructure–Process Linkages

    Acar, Pinar | AIAA | 2019
    Schlagwörter: Machine Learning

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

    Warner, Jonathan / Rogers, Jonathan | AIAA | 2019
    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

    Kernel-Smoothed Proper Orthogonal Decomposition–Based Emulation for Spatiotemporally Evolving Flow Dynamics Prediction

    Chang, Yu-Hung / Zhang, Liwei / Wang, Xingjian et al. | AIAA | 2019
    Schlagwörter: Machine Learning

    Inverse Design of Airfoil Using a Deep Convolutional Neural Network

    Sekar, Vinothkumar / Zhang, Mengqi / Shu, Chang et al. | AIAA | 2019
    Schlagwörter: Machine Learning

    Modal Analysis of Fluid Flows: Applications and Outlook

    Taira, Kunihiko / Hemati, Maziar S. / Brunton, Steven L. et al. | AIAA | 2019
    Schlagwörter: Machine Learning

    Causal Analysis of Flowfields Using Clustering Entropy

    Omata, Noriyasu / Tsutsumi, Seiji | AIAA | 2020
    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

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

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

    Reduced-Order Modeling for Dynamic Mode Decomposition Without an Arbitrary Sparsity Parameter

    Graff, John / Ringuette, Matthew J. / Singh, Tarunraj et al. | AIAA | 2020
    Schlagwörter: Machine Learning

    Journal of Aerospace Information Systems 2020 Year-End Review

    AIAA | 2020
    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

    Quantum Speedup for Aeroscience and Engineering

    Givi, Peyman / Daley, Andrew J. / Mavriplis, Dimitri et al. | 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

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

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

    Database Development and Component Design with Two-Dimensional Trusslike Microstructures

    McMillan, Kiara / Acar, Pinar | AIAA | 2021
    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

    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

    Filtered Integral Formulation of the Sparse Model Identification Problem

    Guého, Damien / Singla, Puneet / Majji, Manoranjan et al. | AIAA | 2021
    Schlagwörter: Machine Learning

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

    Hasan, Mahmudul / Acar, Pinar | AIAA | 2021
    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

    Machine-Learning-Based Surrogate Modeling of Aerodynamic Flow Around Distributed Structures

    Zhang, Jincheng / Zhao, Xiaowei | AIAA | 2021
    Schlagwörter: Machine Learning

    Journal of Aerospace Information Systems 2021 Year-End Review

    AIAA | 2021
    Schlagwörter: Machine Learning

    Collective Sensitivity of Artificial Hair Sensors to Flow Direction

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

    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

    Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events

    Bleu Laine, Marc-Henri / Puranik, Tejas G. / Mavris, Dimitri N. et al. | AIAA | 2021
    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

    Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects

    Piazza, Massimo / Maestrini, Michele / Di Lizia, Pierluigi | 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