Synonyme wurden verwendet für: learning
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61–80 von 121 Ergebnissen
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    Identifying traffic conditions from non-traffic related sources

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

    Graph attention temporal convolutional network for traffic speed forecasting on road networks

    Zhang, Ke / He, Fang / Zhang, Zhengchao et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep 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
    Schlagwörter: deep learning

    Functional clustering and missing value imputation of traffic flow trajectories

    Li, Pai-Ling / Chiou, Jeng-Min | Taylor & Francis Verlag | 2021
    Schlagwörter: unsupervised learning

    Full-scale spatio-temporal traffic flow estimation for city-wide networks: a transfer learning based approach

    Zhang, Yuan / Cheng, Qixiu / Liu, Yang et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: transfer learning method

    Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model

    Hesam Hafezi, Mohammad / Sultana Daisy, Naznin / Millward, Hugh et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine-learning

    Few-Shot traffic prediction based on transferring prior knowledge from local network

    Yu, Lin / Guo, Fangce / Sivakumar, Aruna et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Few-shot learning , Transfer learning

    Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method

    Mahmoodi, Kumars / Nowruzi, Hashem | Taylor & Francis Verlag | 2022
    Schlagwörter: extreme learning machine

    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

    Estimating cycle-level real-time traffic movements at signalized intersections

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Energy-efficient control of a thruster-assisted position mooring system using neural Q-learning techniques

    He, Huacheng / Wang, Lei / Wang, Xuefeng et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: double Q-learning

    Electric vehicle charging demand forecasting using deep learning model

    Yi, Zhiyan / Liu, Xiaoyue Cathy / Wei, Ran et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Eco-driving at signalized intersections: a parameterized reinforcement learning approach

    Jiang, Xia / Zhang, Jian / Li, Dan | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning

    Early wheel flat detection: an automatic data-driven wavelet-based approach for railways

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

    Dynamic modelling and control of a twin-rotor system using adaptive neuro-fuzzy inference system techniques

    Omar, M / Zaidan, M A / Tokhi, M O | SAGE Publications | 2012
    Schlagwörter: online learning

    DRL-based adaptive signal control for bus priority service under connected vehicle environment

    Zhang, Xinshao / He, Zhaocheng / Zhu, Yiting et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning

    Driver steering and muscle activity during a lane-change manoeuvre

    Pick, Andrew J. / Cole, David J. | Taylor & Francis Verlag | 2007
    Schlagwörter: Learning

    Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

    Yuksel, A. S. / Atmaca, S. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning