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1–50 von 228 Ergebnissen
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    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

    Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

    El-Tantawy, Samah / Abdulhai, Baher / Abdelgawad, Hossam | Taylor & Francis Verlag | 2014
    Schlagwörter: Reinforcement Learning , Temporal Difference Learning

    A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand

    Freier Zugriff
    Winkelbauer, Dominik / Bäuml, Berthold / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    Phi-Net: Deep Residual Learning for InSAR Parameters Estimation

    Freier Zugriff
    Sica, Francescopaolo / Gobbi, Giorgia / Rizzoli, Paola et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Residual Learning , Deep 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

    Crash Rate Estimation by Aerial Image Analysis

    Freier Zugriff
    Kornfeld, Nils / Lücken, Leonhard / Leich, Andreas et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: Machine Learning , Deep Learning

    Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons

    Rampeltshammer, Martin / Deiml, Mathias / Heesche, Kai et al. | Tema Archiv | 2008
    Schlagwörter: Lernprozess

    Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante

    Raynard, Thierry | IuD Bahn | 2014
    Schlagwörter: Betriebliches Lernen

    Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Cheng, Yanqiu / Hu, Xianbiao / Chen, Kuanmin et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep Q-learning , reinforcement 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

    Learning efficient haptic shape exploration with a rigid tactile sensor array

    Freier Zugriff
    Fleer, Sascha / Moringen, Alexandra / Klatzky, Roberta L. et al. | BASE | 2020
    Schlagwörter: Learning , Machine learning algorithms , Machine learning

    A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

    Freier Zugriff
    Sica, Francescopaolo / Calvanese, Francesco / Scarpa, Giuseppe et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Wang, Hao / Yuan, Yun / Yang, Xianfeng Terry et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning , Q-learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    Artificial intelligence for traffic signal control based solely on video images

    Jeon, Hyunjeong / Lee, Jincheol / Sohn, Keemin | Taylor & Francis Verlag | 2018
    Schlagwörter: deep learning , reinforcement learning (RL)

    Incremental Skill Learning of Stable Dynamical Systems

    Freier Zugriff
    Saveriano, Matteo / Lee, Dongheui | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: incremental learning , Efficient skill 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

    Considerazioni sulla formazione mediante simulatori di condotta

    Capaccioli, Tanya | IuD Bahn | 2006
    Schlagwörter: Betriebliches Lernen

    Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer

    Freier Zugriff
    Tang, Qinrui / Jahan, Kanwal / Roth, Michael | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: deep learning , self-supervised learning

    Warning systems triggered by trains increase flight-initiation times of wildlife

    Backs, Jonathan A.J. / Nychka, John A. / St. Clair, Colleen Cassady | Elsevier | 2020
    Schlagwörter: Learning

    Estimating wildlife strike costs at US airports: A machine learning approach

    Altringer, Levi / Navin, Jordan / Begier, Michael J. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms

    Freier Zugriff
    Niebling, Julia / Baasch, Benjamin / Kruspe, Anna | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    Lerntypen

    Mit einer typengerechten Gestaltung zum optimalen Lernerfolg
    Lex, Monika | IuD Bahn | 2007
    Schlagwörter: Betriebliches Lernen

    Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine

    Min, Kyunghan / Sunwoo, Myoungho / Han, Manbae | Springer Verlag | 2018
    Schlagwörter: Learning control , Iterative learning control

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning

    Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah

    Gong, Yaobang / Isom, Tanner / Lu, Pan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu

    Tu, Meiting / Li, Wenxiang / Orfila, Olivier et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Kennzahlen per Intranet

    Becker, Egbert | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Generalization of human grasping for multi-fingered robot hands

    Freier Zugriff
    Ben Amor, Heni / Kroemer, Oliver / Hillenbrand, Ulrich et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2012
    Schlagwörter: learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM

    Freier Zugriff
    Hu, Xuke / Fan, Hongchao / Noskov, Alexey et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Machine 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

    Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions

    Wu, Xinyi / Tao, Tao / Cao, Jason et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

    Xu, Ming / Wu, Jianping / Huang, Ling et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: deep reinforcement 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

    Decision-making for Connected and Automated Vehicles in Chanllenging Traffic Conditions Using Imitation and Deep Reinforcement Learning

    Hu, Jinchao / Li, Xu / Hu, Weiming et al. | Springer Verlag | 2023
    Schlagwörter: Imitation learning , Deep reinforcement learning

    Non-linear associations between the built environment and the physical activity of children

    Huang, Xiaoyan / Lu, Gaigai / Yin, Jiangbin et al. | Elsevier | 2021
    Schlagwörter: Machine 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

    Learning Drivers’ Behavior to Improve Adaptive Cruise Control

    Rosenfeld, Avi / Bareket, Zevi / Goldman, Claudia V. et al. | Taylor & Francis Verlag | 2015
    Schlagwörter: Machine Learning

    Generalization of optimal motion trajectories for a biped walking machine based on machine learning

    Freier Zugriff
    Trautmann, Dietrich | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2015
    Schlagwörter: Machine learning

    Impact of an electrified parkade on the built environment: An unsupervised learning approach

    Fernández, Julián A. / Herrera, Omar E. / Mérida, Walter | Elsevier | 2019
    Schlagwörter: Unsupervised learning

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design

    Erikstad, Stein Ove / NTNU | Taylor & Francis Verlag | 2007
    Schlagwörter: learning

    Nonlinear effects of the built environment on metro-integrated ridesourcing usage

    Jin, Tanhua / Cheng, Long / Zhang, Xucai et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Estimating Parameters of Governing Equations of Non-Linear Systems from Data Using Synchronisation and Machine Learning

    Freier Zugriff
    Prosperino, Davide | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning