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21–40 von 193 Ergebnissen
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    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

    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

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

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

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

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

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

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

    Dynamic Targeting to Improve Earth Science Missions

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

    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

    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

    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

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

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