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    An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption

    Bas, Javier / Zou, Zhenpeng / Cirillo, Cinzia | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-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

    Estimating lane utilization for variable approach lanes using explainable machine learning

    Alagbé, Adjé Jérémie / Jin, Sheng / Bao, Qianhan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: explainable machine learning

    Integrating built environment and parking policy for car commuting reduction: evidence from Beijing

    Wang, Xiaoquan / Yin, Chaoying / Zheng, Changjiang et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning model

    Departure time choice behavior in commute problem with stochastic bottleneck capacity: experiments and modeling

    Liu, Qiumin / Lu, Dongxu / Jiang, Rui et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning model

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: 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

    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

    Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time

    Ullah, Irfan / Liu, Kai / Yamamoto, Toshiyuki et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning (ML) algorithm

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