Synonyme wurden verwendet für: learning
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1–50 von 198 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

    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

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine 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 open data and deep learning to explore walkability in Shenzhen, China

    He, Xuan / He, Sylvia Y. | Elsevier | 2023
    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

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Schlagwörter: Explainable 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

    Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors

    Cai, Haiming / Wang, Jiawei / Li, Binliang et al. | Elsevier | 2024
    Schlagwörter: Inverse Reinforcement Learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Transit electrification state of the art: A machine-learning based text mining approach

    Eldeeb, Gamal / Mohamed, Moataz | Elsevier | 2022
    Schlagwörter: Machine learning text mining

    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

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

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Schlagwörter: Bayesian machine 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

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Machine 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

    The impact of smart traffic interventions on roadside air quality employing machine learning approaches

    Munir, Said / Luo, Zhiwen / Dixon, Tim et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    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

    Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data

    Yang, Jiayu / Shi, Linchang / Lee, Jaeyoung et al. | Elsevier | 2024
    Schlagwörter: Deep-learning methods

    Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications

    Wu, Jishi / Jia, Peng / Feng, Tao et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Spatial disparity of individual and collective walking behaviors: A new theoretical framework

    Jiang, Yuxiao / Chen, Long / Grekousis, George et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    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)

    Short-term electric vehicle battery swapping demand prediction: Deep learning methods

    Wang, Shengyou / Chen, Anthony / Wang, Pinxi et al. | Elsevier | 2023
    Schlagwörter: Deep learning methods

    Sharing behavior in ride-hailing trips: A machine learning inference approach

    Taiebat, Morteza / Amini, Elham / Xu, Ming | Elsevier | 2021
    Schlagwörter: Machine learning inference

    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

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Revealing influences on carsharing users’ trip distance in small urban areas

    Baumgarte, Felix / Keller, Robert / Röhrich, Felix et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Research on Intelligent Decision Based on Compound Traffic Field

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