1–20 von 148 Ergebnissen
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    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

    Wire Databases Generation Using Deep Learning Methods for Rotorcraft Wire Strike Prevention

    Achour, Gabriel / Harris, Caleb / Payan, Alexia P. et al. | AIAA | 2024
    Schlagwörter: Deep 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

    Vehicle yaw stability control with a two-layered learning MPC

    Zhang, Zhiming / Xie, Lei / Lu, Shan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: model learning

    Vehicle detection in driving simulation using extreme learning machine

    Zhu, Wentao / Miao, Jun / Hu, Jiangbi et al. | Tema Archiv | 2014
    Schlagwörter: extreme learning machine

    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

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

    Jain, Tanish / Misra, Shlok / Truong, Dothang | AIAA | 2022
    Schlagwörter: Machine 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

    Unmixing method for hyperspectral data based on sub-space method with learning process

    Arai, Kohei / Chen, Huahui | Elsevier | 2009
    Schlagwörter: Learning process

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

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

    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: parameter learning

    The effects of proton exposure on neurochemistry and behavior

    Shukitt-Hale, B / Szprengiel, A / Pluhar, J et al. | Elsevier | 2003
    Schlagwörter: Spatial learning

    The capacitated single-allocation p-hub location routing problem: a Lagrangian relaxation and a hyper-heuristic approach

    Danach, Kassem / Gelareh, Shahin / Neamatian Monemi, Rahimeh | Online Contents | 2019
    Schlagwörter: Reinforcement learning

    Taxi-Out Time Prediction Model at Charles de Gaulle Airport

    Herrema, Floris / Curran, Richard / Visser, Hendrikus et al. | AIAA | 2018
    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

    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

    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

    Small-Data-Driven Multitask Computational Guidance for Constrained Impact

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