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1–50 von 193 Ergebnissen
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    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

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

    Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains

    Vidot, Guillaume / Gabreau, Christophe / Ober, Ileana et al. | AIAA | 2024
    Schlagwörter: Reinforcement 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

    Automated Spoken-to-Coded Pilot Weather Reports in General Aviation

    Gupta, Shantanu / Pitts, Brandon J. / Johnson, Mary E. | AIAA | 2024
    Schlagwörter: Machine Learning

    Development of Real-Time Unmanned Aerial Vehicle Urban Object Detection System with Federated Learning

    Lu, You-Ru / Sun, Dengfeng | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Prediction of wing buffet pressure loads using a convolutional and recurrent neural network framework

    Freier Zugriff
    Zahn, R. / Weiner, A. / Breitsamter, C. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Framework for Offline Data-Driven Aircraft Fault Diagnosis

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

    Explainable Basic-Fighter-Maneuver Decision Support Scheme for Piloting Within-Visual-Range Air Combat

    Wang, Can / Tu, Jingqi / Yang, Xizhong et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems

    Sharma, Prashin / Kraske, Benjamin / Kim, Joseph et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Autonomous Small Body Science Operations Using Reinforcement Learning

    Herrmann, Adam / Schaub, Hanspeter | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Small-Data-Driven Multitask Computational Guidance for Constrained Impact

    Luo, Haowen / He, Shaoming | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics

    Sudarsanan, Varun S. / Kostiuk, Peter F. | AIAA | 2024
    Schlagwörter: Deep Learning

    Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

    Freier Zugriff
    Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

      Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    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

    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

    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

    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

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

    Kim, Junghyun / Kim, Seulki | AIAA | 2023
    Schlagwörter: 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
    Schlagwörter: Deep 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

    Selecting Minimal Motion Primitive Libraries with Genetic Algorithms

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

    Optimizing inventory control through a data-driven and model-independent framework

    Freier Zugriff
    Evangelos Theodorou / Evangelos Spiliotis / Vassilios Assimakopoulos | DOAJ | 2023
    Schlagwörter: Machine learning

    Prefetch and Push Method of Flight Information Based on Migration Workflow

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

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

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

    Deep reinforcement learning for stochastic last-mile delivery with crowdshipping

    Freier Zugriff
    Marco Silva / João Pedro Pedroso / Ana Viana | DOAJ | 2023
    Schlagwörter: Deep 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
    Schlagwörter: Reinforcement Learning

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

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

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

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

    Dynamic Targeting to Improve Earth Science Missions

    Candela, Alberto / Swope, Jason / Chien, Steve A. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

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

    Andrade, Sequoia / Walsh, Hannah S. | AIAA | 2023
    Schlagwörter: Machine Learning

    Prediction of transonic wing buffet pressure based on deep learning

    Freier Zugriff
    Zahn, R. / Breitsamter, C. | Springer Verlag | 2023
    Schlagwörter: Deep 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

    Aircraft Trajectory Prediction for Terminal Airspace Employing Social Spatiotemporal Graph Convolutional Network

    Xu, Zhengfeng / Liu, Yan / Chu, Xiao et al. | AIAA | 2023
    Schlagwörter: Feature Learning

    Statistical-machine-learning-based intelligent relaxation for set-covering location models to identify locations of charging stations for electric vehicles

    Freier Zugriff
    Selcen Gülsüm Aslan Özşahin / Babek Erdebilli | DOAJ | 2023
    Schlagwörter: Statistical-machine-learning-based intelligent optimization

    Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking

    Lehman, Hannah / Valasek, John | AIAA | 2023
    Schlagwörter: Reinforcement Learning

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

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

    Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat

    Horne, Ross / Mauw, Sjouke / Mizera, Andrzej et al. | AIAA | 2023
    Schlagwörter: Deep 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

    Distributed Intelligent Adaptive Controller for Disturbance Rejection in Multiagent Systems

    F., D. / Moncayo, Hever / Aoun, Christoph et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Anomaly Detection for Agile Satellite Attitude Control System Using Hybrid Deep-Learning Technique

    Mohamed, Moamen Ibrahim / Badran, Khaled Mahmoud / Hussien, Ahmed Esmat | AIAA | 2023
    Schlagwörter: Deep 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

    Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

    Freier Zugriff
    Nair, Deebul / Hochgeschwender, Nico / Olivares-Mendez, Miguel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    Generalizability of Code Clone Detection on CodeBERT

    Freier Zugriff
    Sonnekalb, Tim / Gruner, Bernd / Brust, Clemens-Alexander et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning on code

    Run Time Assured Reinforcement Learning for Safe Satellite Docking

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

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    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