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1–20 von 157 Ergebnissen
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    Machine learning algorithms in ship design optimization

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

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    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

    Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections

    Spatharis, Christos / Blekas, Konstantinos | Taylor & Francis Verlag | 2024
    Schlagwörter: multiagent reinforcement learning

    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

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data

    Zhang, Zihe / Nie, Qifan / Liu, Jun et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Simulation-driven design of a fast monohull

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

    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

    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

    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

    Estimating the effect of biofouling on ship shaft power based on sensor measurements

    Freier Zugriff
    Bakka, Haakon / Rognebakke, Hanne / Glad, Ingrid et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    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

    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

    Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples

    Freier Zugriff
    Dieter, Tamara / Zisgen, Horst | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2023
    Schlagwörter: Deep Learning