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1–20 von 54 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

    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

    TUDOR tip position control with Neural Networks

    Experiment/Model Test
    Malzahn, Jörn / Phung, Anh Son / Hoffmann, Frank et al. | TIB AV-Portal | 2011
    Schlagwörter: machine learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    The level of delay caused by crashes (LDC) in metropolitan and non-metropolitan areas: a comparative analysis of improved Random Forests and LightGBM

    Wang, Zehao / Jiao, Pengpeng / Wang, Jianyu et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: feature learning , machine learning

    Testing and enhancing spatial transferability of artificial neural networks based travel behavior models

    Koushik, Anil NP / Manoj, M / Nezamuddin, N et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning , Transfer learning

    Station-level short-term demand forecast of carsharing system via station-embedding-based hybrid neural network

    Zhao, Feifei / Wang, Weiping / Sun, Huijun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Machine learning

    Ship selection in port state control: status and perspectives

    Yan, Ran / Wang, Shuaian / Peng, Chuansheng | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning in maritime transportation

    Shipping market forecasting by forecast combination mechanism

    Gao, Ruobin / Liu, Jiahui / Du, Liang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach

    Martín-Baos, José Ángel / García-Ródenas, Ricardo / Rodriguez-Benitez, Luis | Taylor & Francis Verlag | 2021
    Schlagwörter: machine Learning

    Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

    Zechin, Douglas / Cybis, Helena Beatriz Bettella | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Prediction of extent of damage in vehicle during crash using improved XGBoost model

    Vadhwani, Diya / Thakor, Devendra | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Prediction model of crash severity in imbalanced dataset using data leveling methods and metaheuristic optimization algorithms

    Danesh, Akbar / Ehsani, Mehrdad / Moghadas Nejad, Fereidoon et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning algorithm

    Predicting the traction power of metropolitan railway lines using different machine learning models

    Pineda-Jaramillo, J. / Martínez-Fernández, P. / Villalba-Sanchis, I. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning

    Predicting incident duration using random forests

    Hamad, Khaled / Al-Ruzouq, Rami / Zeiada, Waleed et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    Predicting and explaining severity of road accident using artificial intelligence techniques, SHAP and feature analysis

    Panda, Chakradhara / Mishra, Alok Kumar / Dash, Aruna Kumar et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Performance evaluation of mode choice models under balanced and imbalanced data assumptions

    Rezaei, Shahrbanoo / Khojandi, Anahita / Haque, Antora Mohsena et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: imbalanced learning , machine learning

    Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features

    Khan, Md Nasim / Das, Anik / Ahmed, Mohamed M. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Modeling lateral movement decisions of powered two wheelers in disordered heterogeneous traffic conditions

    Amrutsamanvar, Rushikesh | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Modeling freight mode choice using machine learning classifiers: a comparative study using Commodity Flow Survey (CFS) data

    Uddin, Majbah / Anowar, Sabreena / Eluru, Naveen | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning