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    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Keywords: Extreme learning machine , Machine learning

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Keywords: Inverse reinforcement learning , Meta-learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Keywords: Machine learning , Deep learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Keywords: Reinforcement learning , Q-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
    Keywords: Learning

    AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

    Liu, Shan / Zhang, Ya / Wang, Zhengli et al. | Elsevier | 2023
    Keywords: Inverse reinforcement learning , Ensemble learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Keywords: Deep reinforcement learning

    Estimating wildlife strike costs at US airports: A machine learning approach

    Altringer, Levi / Navin, Jordan / Begier, Michael J. et al. | Elsevier | 2021
    Keywords: Machine learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Keywords: Deep learning

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Keywords: Machine learning

    Hub-and-spoke network design under congestion: A learning based metaheuristic

    Karimi-Mamaghan, Maryam / Mohammadi, Mehrdad / Pirayesh, Amir et al. | Elsevier | 2020
    Keywords: Machine learning , Learning based Metaheuristics

    Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu

    Tu, Meiting / Li, Wenxiang / Orfila, Olivier et al. | Elsevier | 2021
    Keywords: Machine learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Keywords: Deep Reinforcement Learning

    Reinforcement learning framework for freight demand forecasting to support operational planning decisions

    Al Hajj Hassan, Lama / Mahmassani, Hani S. / Chen, Ying | Elsevier | 2020
    Keywords: Reinforcement learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Keywords: Deep learning

    Real-time demand forecasting for an urban delivery platform

    Hess, Alexander / Spinler, Stefan / Winkenbach, Matthias | Elsevier | 2020
    Keywords: Machine learning

    Generating bunkering statistics from AIS data: A machine learning approach

    Fuentes, Gabriel | Elsevier | 2021
    Keywords: Machine learning

    Impact of an electrified parkade on the built environment: An unsupervised learning approach

    Fernández, Julián A. / Herrera, Omar E. / Mérida, Walter | Elsevier | 2019
    Keywords: Unsupervised learning

    Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions

    Wu, Xinyi / Tao, Tao / Cao, Jason et al. | Elsevier | 2019
    Keywords: Machine learning

    Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction

    Gao, Kun / Yang, Ying / Qu, Xiaobo | Elsevier | 2021
    Keywords: Machine learning

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