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21–40 von 116 Ergebnissen
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    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Schlagwörter: ensemble learning

    Impact Angle Control Guidance Considering Seeker’s Field-of-View Limit Based on Reinforcement Learning

    Lee, Sangmin / Lee, Youngjun / Kim, Youdan et al. | AIAA | 2023
    Schlagwörter: Reinforcement 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

    A human-centric machine learning based personalized route choice prediction in navigation systems

    Sun, Bingrong / Gong, Lin / Shim, Jisup et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods

    Park, Jeong Jun / Lee, Sangyul / Shin, Seunghyup et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas

    Endo, Yuki / Javanmardi, Ehsan / Gu, Yanlei et al. | Springer Verlag | 2023
    Schlagwörter: Deep 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

    Inferring safety critical events from vehicle kinematics in naturalistic driving environment: Application of deep learning Algorithms

    Khattak, Zulqarnain H. / Rios-Torres, Jackeline / Fontaine, Michael D. et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep learning

    Fuel-Saving Control Strategy for Fuel Vehicles with Deep Reinforcement Learning and Computer Vision

    Han, Ling / Liu, Guopeng / Zhang, Hui et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning (DRL)

    Autonomous Reconnaissance Trajectory Guidance at Small Near-Earth Asteroids via Reinforcement Learning

    Takahashi, Shota / Scheeres, Daniel J. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Model Predictive Adaptive Cruise Control of Intelligent Electric Vehicles Based on Deep Reinforcement Learning Algorithm FWOR Driver Characteristics

    Guo, Jinghua / Li, WenChang / Luo, Yugong et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning algorithm

    Knock Onset Determination with 1D CNN Using Random Search Hyperparameter Optimization and Data Augmentation in SI Engine

    Park, Jihwan / Shin, Seunghyup / Oh, Sechul et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation

    Notter, Stefan / Gall, Christian / Müller, Gregor et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints

    Xu, Yifan / Wandelt, Sebastian / Sun, Xiaoqian et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Application of Physical Model Test-Based Long Short-Term Memory Algorithm as a Virtual Sensor for Nitrogen Oxide Prediction in Diesel Engines

    Shin, Dalho / Jo, Seongin / Kim, Hyung Jun et al. | Springer Verlag | 2023
    Schlagwörter: 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

    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

    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

    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