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    A comprehensive review of trip generation models based on land use characteristics

    Mukherjee, Jaideep / Raghuram Kadali, B. | Elsevier | 2022
    Keywords: Machine learning approaches

    A computational approach for real-time stochastic recovery of electric power networks during a disaster

    Inanlouganji, Alireza / Pedrielli, Giulia / Reddy, T. Agami et al. | Elsevier | 2022
    Keywords: Reinforcement 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

    A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections

    Yang, Zhisen / Yu, Qing / Yang, Zaili et al. | Elsevier | 2023
    Keywords: Machine learning

    A dynamic routing protocol with payments for the Physical Internet: A simulation with learning agents

    Briand, Martin / Franklin, Rod / Lafkihi, Mariam | Elsevier | 2022
    Keywords: Learning agents

    A green delivery-pickup problem for home hemodialysis machines; sharing economy in distributing scarce resources

    Asghari, Mohammad / Mirzapour Al-e-hashem, S. Mohammad J. | Elsevier | 2019
    Keywords: Self-learning NSGA-II

    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

    A machine learning approach to identifying decision-making styles for managing customer relationships

    Tudoran, Ana Alina | Online Contents | 2022
    Keywords: Machine learning

    A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection

    Yang, Zhisen / Wan, Chengpeng / Yu, Qing et al. | Elsevier | 2023
    Keywords: ITAN learning

    A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations

    Bongiovanni, Claudia / Kaspi, Mor / Cordeau, Jean-François et al. | Elsevier | 2022
    Keywords: Machine learning

    A machine learning model to predict runway exit at Vienna airport

    Herrema, Floris / Curran, Ricky / Hartjes, Sander et al. | Elsevier | 2019
    Keywords: Machine Learning

    A multi-view attention-based spatial–temporal network for airport arrival flow prediction

    Yan, Zhen / Yang, Hongyu / Wu, Yuankai et al. | Elsevier | 2022
    Keywords: Deep learning

    An adaptive learning model in coordination games

    Free access
    Funai, Naoki | BASE | 2013
    Keywords: learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Keywords: Machine learning

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Keywords: Machine learning

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

    Er Raqabi, El Mehdi / Li, Wenkai | Elsevier | 2023
    Keywords: Machine Learning

    An improved learning-and-optimization train fare design method for addressing commuting congestion at CBD stations

    Chen, Xinyuan / Zhang, Wei / Guo, Xiaomeng et al. | Elsevier | 2021
    Keywords: Learning-and-optimization

    A novel CNN-DDPG based AI-trader: Performance and roles in business operations

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Keywords: Reinforcement learning

    A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption

    Khan, Waqar Ahmed / Chung, Sai-Ho / Ma, Hoi-Lam et al. | Elsevier | 2019
    Keywords: Machine learning

    A post-disaster resource allocation framework for improving resilience of interdependent infrastructure networks

    Sun, Jingran / Zhang, Zhanmin | Elsevier | 2020
    Keywords: Reinforcement learning

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