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    Alighting stop determination using two-step algorithms in bus transit systems

    Yan, Fenfan / Yang, Chao / Ukkusuri, Satish V. | Taylor & Francis Verlag | 2019
    Keywords: machine learning

    Travel mode choice: a data fusion model using machine learning methods and evidence from travel diary survey data

    Chang, Ximing / Wu, Jianjun / Liu, Hao et al. | Taylor & Francis Verlag | 2019
    Keywords: machine learning

    Forecasting road traffic conditions using a context-based random forest algorithm

    Evans, Jonny / Waterson, Ben / Hamilton, Andrew | Taylor & Francis Verlag | 2019
    Keywords: machine learning

    Asynchronous n-step Q-learning adaptive traffic signal control

    Genders, Wade / Razavi, Saiedeh | Taylor & Francis Verlag | 2019
    Keywords: reinforcement learning

    Investigating an SVM-driven, one-class approach to estimating ship systems condition

    Lazakis, Iraklis / Gkerekos, Christos / Theotokatos, Gerasimos | Taylor & Francis Verlag | 2019
    Keywords: machine learning

    Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

    Zhang, Weibin / Yu, Yinghao / Qi, Yong et al. | Taylor & Francis Verlag | 2019
    Keywords: deep learning

    Equality of public transit connectivity: the influence of mass rapid transit services on individual buildings for Singapore

    Li, Zengxiang / Ren, Shen / Hu, Nan et al. | Taylor & Francis Verlag | 2019
    Keywords: machine learning

    PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

    Ke, Jintao / Zhang, Shuaichao / Yang, Hai et al. | Taylor & Francis Verlag | 2019
    Keywords: cost-sensitive learning

    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Keywords: parameter learning

    Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

    Free access
    Munim, Ziaul Haque / Dushenko, Mariia / Jimenez, Veronica Jaramillo et al. | Taylor & Francis Verlag | 2020
    Keywords: machine learning

    Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

    Xu, Ming / Wu, Jianping / Huang, Ling et al. | Taylor & Francis Verlag | 2020
    Keywords: deep reinforcement learning

    Short-term metro passenger flow forecasting using ensemble-chaos support vector regression

    Shi, Zhuangbin / Zhang, Ning / Schonfeld, Paul M. et al. | Taylor & Francis Verlag | 2020
    Keywords: ensemble learning

    Predicting incident duration using random forests

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

    Predicting future locations of moving objects with deep fuzzy-LSTM networks

    Li, Mingxiao / Lu, Feng / Zhang, Hengcai et al. | Taylor & Francis Verlag | 2020
    Keywords: deep learning

    Collision-avoidance under COLREGS for unmanned surface vehicles via deep reinforcement learning

    Ma, Yong / Zhao, Yujiao / Wang, Yulong et al. | Taylor & Francis Verlag | 2020
    Keywords: deep reinforcement learning

    The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study

    Katoh, Daisuke / Tanikawa, Hiroki / Hirano, Satoshi et al. | Taylor & Francis Verlag | 2020
    Keywords: motor learning

    Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers

    Li, Yan / Sarvi, Majid / Khoshelham, Kourosh et al. | Taylor & Francis Verlag | 2020
    Keywords: ensemble learning

    Identifying traffic conditions from non-traffic related sources

    Chamby-Diaz, Jorge C. / Estevam, Rhuam Sena / Bazzan, Ana L. C. | Taylor & Francis Verlag | 2020
    Keywords: machine learning

    A machine learning-based method for simulation of ship speed profile in a complex ice field

    Free access
    Milaković, Aleksandar-Saša / Li, Fang / Marouf, Mohamed et al. | Taylor & Francis Verlag | 2020
    Keywords: machine learning

    GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

    Guo, Jingqiu / Liu, Yangzexi / Yang, Qingyan (Ken) et al. | Taylor & Francis Verlag | 2021
    Keywords: deep learning

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