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    Periodenübergreifende Budgetallokation in der Instandhaltung modularer Systeme - ein Anwendungsfall von Deep Reinforcement Learning

    Freier Zugriff
    Krause, Michael / Technische Universität Clausthal | TIBKAT | 2021
    Schlagwörter: Deep learning , Bestärkendes Lernen

    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

    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

    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

    Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

    Freier Zugriff
    Runge, Jakob | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: machine learning

    Introduction to the Virtual Collection on Machine Learning in Aerospace

    Sunberg, Zach / Oh, Hyondong | AIAA | 2023
    Schlagwörter: Machine Learning

    Knowledge Management

    Rogers, Edward W. | Wiley | 2011
    Schlagwörter: case‐based learning , learning practices , sustainable learning , organizational learning , learning organization

    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

    Estimating Model Uncertainty of Neural Networks in Sparse Information Form

    Freier Zugriff
    Lee, Jongseok / Humt, Matthias / Feng, Jianxiang et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Bayesian Deep Learning

    Progressive Bayesian Neural Networks

    Freier Zugriff
    Schnaus, Dominik | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Continual Learning

    Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers

    Freier Zugriff
    Meissler, Nadine / Wohlan, Annika / Hochgeschwender, Nico et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: knowledge 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

    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: Maschinelles Lernen , deep learning neural network

    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

    Optimal Signal Timing of Single Intersection for Traffic Emission Control

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

    Suppression of Roll Oscillations of a Canard-Configuration Model Using Fluid Effector and Reinforcement Learning

    Dong, Yizhang / Shi, Zhiwei / Chen, Kun et al. | ASCE | 2023
    Schlagwörter: Reinforcement 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

    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

    Explainable AI for precise fatigue crack detection

    Freier Zugriff
    Melching, David / Strohmann, Tobias / Requena, Guillermo et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: deep learning

    Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field

    Yan, Jun / Du, Hongze / Bu, Yufeng et al. | ASCE | 2024
    Schlagwörter: Deep learning

    An Integrated Tracking Control Approach Based on Reinforcement Learning for a Continuum Robot in Space Capture Missions

    Jiang, Da / Cai, Zhiqin / Liu, Zhongzhen et al. | ASCE | 2022
    Schlagwörter: Reinforcement learning

    Run Time Assured Reinforcement Learning for Safe Satellite Docking

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

    Maintenance Strategies Overlook for Devices Under Operation

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

    Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning

    Qiu, Xiaoqi / Gao, Changsheng / Wang, Kefan et al. | ASCE | 2022
    Schlagwörter: Deep reinforcement learning

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

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

    Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method

    Shi, Zhiyang / Li, Tuanjie / Tang, Yaqiong et al. | ASCE | 2022
    Schlagwörter: Procedural learning

    Modeling of aircraft fuel consumption using machine learning algorithms

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

    Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints

    Li, Jun / Huang, Ziyang / Huang, Bing | ASCE | 2023
    Schlagwörter: Minimum-learning-parameter (MLP)

    A Turboshaft Aeroengine Fault Detection Method Based on One-Class Support Vector Machine and Transfer Learning

    Zhu, Ye / Du, Chenglie / Liu, Zhiqiang et al. | ASCE | 2022
    Schlagwörter: Transfer learning (TL)

    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

    Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach

    Park, Junwoo / Bang, Hyochoong | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Machine Learning Control

    Practical Considerations

    Moir, Ian / Seabridge, Allan | Wiley | 2012
    Schlagwörter: learning

    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

    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

    Prefetch and Push Method of Flight Information Based on Migration Workflow

    Xu, Tao / Sun, Youchao | AIAA | 2023
    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

    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

    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

    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

    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

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

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

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