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51–100 von 114 Ergebnissen
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    Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data

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

    Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning

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

    Unsupervised prototype reduction for data exploration and an application to air traffic management initiatives

    Estes, Alexander / Lovell, David J. / Ball, Michael O. | Online Contents | 2019
    Schlagwörter: Unsupervised learning

    Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot

    Hu, Yang / Wang, Xiaoyan | AIAA | 2019
    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

    Dynamic Targeting to Improve Earth Science Missions

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

    The past, present, and future of neural networks for signal processing

    Hwang, Jenq-Nen / Kung, Sun-Yan / Niranjan, M. et al. | Tema Archiv | 1997
    Schlagwörter: Lernen

    Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on Q -Learning

    Wang, Ziyang / Yang, Hongbing / Wu, Qingsong et al. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)

    Khademi, Navid / Rajabi, Mojtaba / Mohaymany, Afshin S. et al. | Online Contents | 2016
    Schlagwörter: Drivers’ 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

    Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation

    Juntama, Paveen / Delahaye, Daniel / Chaimatanan, Supatcha et al. | AIAA | 2022
    Schlagwörter: Reinforcement 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

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

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

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

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

    Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles

    Zhang, Chuanqi / Cao, Yunfeng / Ding, Meng et al. | AIAA | 2021
    Schlagwörter: Deep Learning

    XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters

    Seidel, Cory A. / Genter, Ethan / Peters, David A. | AIAA | 2021
    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

    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

    Framework for Offline Data-Driven Aircraft Fault Diagnosis

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

    Imitation Learning-Based Unmanned Aerial Vehicle Planning for Multitarget Reconnaissance Under Uncertainty

    Choi, Uihwan / Ahn, Jaemyung | AIAA | 2019
    Schlagwörter: Inverse Reinforcement Learning

    Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner

    Goddard, Zachary C. / Wardlaw, Kenneth / Williams, Kyle et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization

    Israelsen, Brett / Ahmed, Nisar / Center, Kenneth et al. | AIAA | 2018
    Schlagwörter: Inverse Reinforcement 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

    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

    Autonomous Autorotation of an Unmanned Helicopter Using a Reinforcement Learning Algorithm

    Lee, Dong Jin / Bang, Hyochoong | AIAA | 2013
    Schlagwörter: Reinforcement Learning

    Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems

    Freier Zugriff
    Cornelius Rüther / Julia Rieck | DOAJ | 2022
    Schlagwörter: Machine learning approaches

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

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

    Two-Phase Neural Combinatorial Optimization with Reinforcement Learning for Agile Satellite Scheduling

    Zhao, Xuexuan / Wang, Zhaokui / Zheng, Gangtie | AIAA | 2020
    Schlagwörter: Reinforcement Learning

    Journal of Aerospace Information Systems Year-End Review

    AIAA | 2015
    Schlagwörter: Reinforcement Learning

    Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game

    English, Jacob T. / Wilhelm, Jay P. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Bridging Reinforcement Learning and Online Learning for Spacecraft Attitude Control

    Elkins, Jacob G. / Sood, Rohan / Rumpf, Clemens | AIAA | 2021
    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

    Journal of Aerospace Information Systems 2021 Year-End Review

    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

    Evaluation of the aircraft fuel economy using advanced statistics and machine learning

    Freier Zugriff
    Baumann, S. / Neidhardt, T. / Klingauf, U. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Journal of Aerospace Information Systems 2020 Year-End Review

    AIAA | 2020
    Schlagwörter: Machine 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

    Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2014
    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

    Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance

    Valasek, John / Kirkpatrick, Kenton / May, James et al. | AIAA | 2015
    Schlagwörter: Reinforcement 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

    Generalizing Movements with Information-Theoretic Stochastic Optimal Control

    Lioutikov, Rudolf / Paraschos, Alexandros / Peters, Jan et al. | AIAA | 2014
    Schlagwörter: Reinforcement Learning

    An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions

    Tran, Phu N. / Pham, Duc-Thinh / Goh, Sim Kuan et al. | AIAA | 2020
    Schlagwörter: Inverse Reinforcement 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

    Clustering sensor data for autonomous terrain identification using time-dependency

    Giguere, Philippe / Dudek, Gregory | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

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

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