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1–50 von 163 Ergebnissen
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    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble and machine learning

    Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning

    Braun, David / Marb, Michael M. / Angelov, Jorg et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Using reinforcement learning to minimize taxi idle times

    O’Keeffe, Kevin / Anklesaria, Sam / Santi, Paolo et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , reinforcement learning

    Using Predictive Uncertainty for Cleaning Noisy Annotations

    Freier Zugriff
    Gütter, Jonas Aaron / Ulman, Hannah / Niebling, Julia | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Deep Learning

    Using kinematic driving data to detect sleep apnea treatment adherence

    McDonald, Anthony D. / Lee, John D. / Aksan, Nazan S. et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

    Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography

    Freier Zugriff
    Sierotowicz, Marek / Brusamento, Donato / Schirrmeister, Benjamin et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry

    Freier Zugriff
    Shinde, Kashmira | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Uncertainty in Deep Learning , Deep Learning

    Ultrasound image features of the wrist are linearly related to finger positions

    Freier Zugriff
    Castellini, Claudio / Passig, Georg | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2011
    Schlagwörter: machine learning

    Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes

    Freier Zugriff
    Lee, Jongseok / Feng, Jianxiang / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Bayesian Deep Learning

    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

    Du, Zhuo / Miao, Qiheng / Zong, Changfu | Springer Verlag | 2020
    Schlagwörter: Deep reinforcement learning

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning , machine learning

    Traffic sign extraction using deep hierarchical feature learning and mobile light detection and ranging (LiDAR) data on rural highways

    Gouda, Maged / Epp, Alexander / Tilroe, Rowan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Deep learning

    Traffic Safety at German Roundabouts—A Replication Study

    Freier Zugriff
    Leich, Andreas / Fuchs, Julian / Srinivas, Gurucharan et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Traffic Route Generation and Adaptation Using Case-Based Reasoning

    Whitsitt, Andrew J. / Travis, Larry E. | Taylor & Francis Verlag | 1996
    Schlagwörter: automatic learning

    Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network

    Zhang, Hong / Wang, Hongyan / Chen, Linlong et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework

    Guo, Fangce / Krishnan, Rajesh / Polak, John | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning method

    Systematische Wissensvermittlung mit neuen Medien in der Fortbildung

    E-Learning bei der Bahn
    Pointner, Martin | IuD Bahn | 2005
    Schlagwörter: Betriebliches Lernen

    Switching Flight Control for Incremental Model-Based Dual Heuristic Dynamic Programming

    Li, Hangxu / Sun, Liguo / Tan, Wenqian et al. | AIAA | 2020
    Schlagwörter: Reinforcement Learning

    Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings

    Boussemart, Yves / Cummings, Mary L. / Fargeas, Jonathan Las et al. | AIAA | 2011
    Schlagwörter: Machine Learning

    Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning

    Moon, Seokho / Lee, Jinhee / Kim, Hyung Jun et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Statistical Characterization of Stress Concentrations along Butt Joint Weld Seams Using Deep Neural Networks

    Freier Zugriff
    Braun, Moritz / Neuhäusler, Josef / Denk, Martin et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Speeding Up Optimization-based Motion Planning through Deep Learning

    Freier Zugriff
    Tenhumberg, Johannes / Darius, Burschka / Bäuml, Berthold | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Learning from Experience , Deep Learning Methods

    Space Situational Awareness Sensor Tasking: Comparison of Machine Learning with Classical Optimization Methods

    Little, Bryan D. / Frueh, Carolin E. | AIAA | 2019
    Schlagwörter: Reinforcement Learning

    Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid

    Taniguchi, Asuto / Satoh, Satoshi / Yamada, Katsuhiko | AIAA | 2019
    Schlagwörter: Iterative Learning Control

    Simulation-driven design of a fast monohull

    Freier Zugriff
    Harries, Stefan / Ahmed, Osama / Uharek, Sebastian | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning (ML)

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Sensitivity analysis of driving event classification using smartphone motion data: case of classifier type, sensor bundling, and data acquisition rate

    Sarteshnizi, Iman Taheri / Tavakkoli Khomeini, Farbod / Khedri, Borna et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry

    Freier Zugriff
    Stratmann, Philipp / Albu-Schäffer, Alin / Jörntell, Henrik | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: motor learning

    Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals

    Kim, Min-Hyun / Park, Jongchan / Choi, Seibum | Springer Verlag | 2021
    Schlagwörter: Machine-learning

    Road identification in monocular color images using random forest and color correlogram

    Choi, J. H. / Song, G. Y. / Lee, J. W. | Springer Verlag | 2012
    Schlagwörter: Learning paradigm

    Research on Intelligent Decision Based on Compound Traffic Field

    Luo, Yutao / Dai, Jinkun / Li, Hongluo | Springer Verlag | 2021
    Schlagwörter: Reinforcement learning

    Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge

    Freier Zugriff
    Klüpfel, Leonard | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: deep learning

    Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism

    Zhao, Guanglei / Chen, Zihao / Liao, Weiming | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning

    Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects

    Lampton, Amanda / Niksch, Adam / Valasek, John | AIAA | 2009
    Schlagwörter: Reinforcement Learning

    Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis

    Lampton, Amanda / Niksch, Adam / Valasek, John | AIAA | 2010
    Schlagwörter: Reinforcement Learning

    Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions

    Zavoli, Alessandro / Federici, Lorenzo | AIAA | 2021
    Schlagwörter: Inverse Reinforcement Learning

    Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys

    Kirkpatrick, Kenton / Valasek, John | AIAA | 2009
    Schlagwörter: Reinforcement Learning

    Reinforcement learning-enabled genetic algorithm for school bus scheduling

    Köksal Ahmed, Eda / Li, Zengxiang / Veeravalli, Bharadwaj et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions

    Freier Zugriff
    Alms, Robert / Noulis, Aristeidis / Mintsis, Evangelos et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: reinforcement learning (RL)

    Reinforcement-Learning-Based Adaptive Optimal Flight Control with Output Feedback and Input Constraints

    Sun, Bo / van Kampen, Erik-Jan | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Refining action segmentation with hierarchical video representations

    Freier Zugriff
    Ahn, Hyemin / Lee, Dongheui | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Deep Learning

    Propeller optimization by interactive genetic algorithms and machine learning

    Freier Zugriff
    Gypa, Ioli / Jansson, Marcus / Wolff, Krister et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Projektausbildung in der Berufsausbildung

    Gewinnt immer mehr an Bedeutung
    Krause, Andrea | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Problems Encountered during Implementation of the Backpropagation

    Kim, Daehyon | Taylor & Francis Verlag | 1999
    Schlagwörter: Learning rate , Learning mode

    Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

    Yun, Hyunsoo / Kim, Eui-Jin / Ham, Seung Woo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning

    Freier Zugriff
    Braun, Moritz / Kellner, Leon / Schreiber, Sarah et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Fatigue life predictionWelded joints Fatigue strength Machine learning models explainable AIgradient boosted trees SHAP

    Prediction of Driver’s Drowsiness Using Machine Learning Algorithms for Minimal Risk Condition

    Nam, Deok Ho / Kim, Gyeong Pil / Baek, Keon Hee et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning algorithms

    Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series

    Freier Zugriff
    Diniz Dal Molin Junior, Ricardo Simao / Rizzoli, Paola | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: deep learning