1–50 von 102 Ergebnissen
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    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

    Federated Learning for Spanish Ports as an Aid to Digitization

    Freier Zugriff
    González Cancelas Nicoleta / Molina Serrano Beatriz / Soler Flores Francisco | DOAJ | 2021
    Schlagwörter: machine learning , federated 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

    Optimal Signal Timing of Single Intersection for Traffic Emission Control

    Li, Xin / Chen, Feng | Trans Tech Publications | 2014
    Schlagwörter: Reinforcement 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

    Parareal with a learned coarse model for robotic manipulation

    Freier Zugriff
    Agboh, Wisdom / Grainger, Oliver / Ruprecht, Daniel et al. | BASE | 2020
    Schlagwörter: Learning , Computer Science - 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

    Run Time Assured Reinforcement Learning for Safe Satellite Docking

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

    Modeling of aircraft fuel consumption using machine learning algorithms

    Baumann, S. / Klingauf, U. | Springer Verlag | 2020
    Schlagwörter: Machine learning

      Modeling of aircraft fuel consumption using machine learning algorithms

      Baumann, S. / Klingauf, U. | Online Contents | 2019
      Schlagwörter: Machine 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

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

    Kim, Junghyun / Kim, Seulki | AIAA | 2023
    Schlagwörter: Machine Learning

    Maintenance Strategies Overlook for Devices Under Operation

    Freier Zugriff
    Szpytko Janusz / Duarte Yorlandys Salgado | DOAJ | 2020
    Schlagwörter: learning management systems

    Modeling the impacts of public transport reliability and travel information on passengers’ waiting-time uncertainty

    Cats, Oded / Gkioulou, Zafeira | Online Contents | 2017
    Schlagwörter: Learning

    Selecting Minimal Motion Primitive Libraries with Genetic Algorithms

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

    Machine Learning Based Approach to a Crane Load Estimation

    Freier Zugriff
    Smoczek Jarosław / Hyla Paweł / Kusznir Tom | DOAJ | 2021
    Schlagwörter: machine learning

    Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade

    Staats, M. / Nitsche, W. / Steinberg, S. J. et al. | Springer Verlag | 2016
    Schlagwörter: Iterative learning controller

      Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade

      Staats, M. / Nitsche, W. / Steinberg, S. J. et al. | Online Contents | 2016
      Schlagwörter: Iterative learning controller

    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

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

    Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

    Freier Zugriff
    Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Springer Verlag | 2020
    Schlagwörter: Machine-learning

      Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

      Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Online Contents | 2019
      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

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

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

    Reduced-order models for aerodynamic applications, loads and MDO

    Ripepi, M. / Verveld, M. J. / Karcher, N. W. et al. | Springer Verlag | 2018
    Schlagwörter: Manifold learning

      Reduced-order models for aerodynamic applications, loads and MDO

      Ripepi, M. / Verveld, M. J. / Karcher, N. W. et al. | Online Contents | 2018
      Schlagwörter: Manifold 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

    Interaktives Lernen in der Stellwerksausbildung - Verknüpfung von Lernplattform und Simulation

    Hauschild, Uwe / Demitz, Jörg | Tema Archiv | 2013
    Schlagwörter: E-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

    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

    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

    Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects

    Piazza, Massimo / Maestrini, Michele / Di Lizia, Pierluigi | AIAA | 2022
    Schlagwörter: Machine Learning

    Enabling Limited Resource-Bounded Disjunction in Scheduling

    Agrawal, Jagriti / Chi, Wayne / Chien, Steve et al. | AIAA | 2021
    Schlagwörter: Machine Learning

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

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

    Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning

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

    Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot

    Hu, Yang / Wang, Xiaoyan | AIAA | 2019
    Schlagwörter: Reinforcement Learning

    Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

    Freier Zugriff
    Band, Shahab S. / Janizadeh, Saeid / Chandra Pal, Subodh et al. | BASE | 2020
    Schlagwörter: deep learning neural network

    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

    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

    Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation

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

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

    Andrade, Sequoia / Walsh, Hannah S. | AIAA | 2023
    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

    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

    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

    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

    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