Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

121–140 von 194 Ergebnissen
|

    Bayesian and machine learning-based fault detection and diagnostics for marine applications

    Freier Zugriff
    Cheliotis, Michail / Lazakis, Iraklis / Cheliotis, Angelos | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Optimizing sensitivity parameters of automated driving vehicles in an open heterogeneous traffic flow system

    Bouadi, Marouane / Jia, Bin / Jiang, Rui et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach

    Martín-Baos, José Ángel / García-Ródenas, Ricardo / Rodriguez-Benitez, Luis | Taylor & Francis Verlag | 2021
    Schlagwörter: machine Learning

    Ship selection in port state control: status and perspectives

    Yan, Ran / Wang, Shuaian / Peng, Chuansheng | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning in maritime transportation

    Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

    Yun, Hyunsoo / Kim, Eui-Jin / Ham, Seung Woo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep reinforcement 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
    Schlagwörter: deep reinforcement learning

    The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework

    Guo, Fangce / Krishnan, Rajesh / Polak, John | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning method

    Agent-based modeling of cognitive learning of dynamic activity-travel patterns

    Cenani, Sehnaz / Arentze, Theo A / Timmermans, Harry J P | Taylor & Francis Verlag | 2013
    Schlagwörter: Cognitive learning

    Marine accident learning with Fuzzy Cognitive Maps: a method to model and weight human-related contributing factors into maritime accidents

    Navas de Maya, Beatriz / Kurt, R. E. | Taylor & Francis Verlag | 2022
    Schlagwörter: marine accident learning with fuzzy cognitive maps

    Joint learning of video images and physiological signals for lane-changing behavior prediction

    Gao, Jun / Yi, Jiangang / Murphey, Yi Lu | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Applications of machine learning methods in traffic crash severity modelling: current status and future directions

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Data-driven train set crash dynamics simulation

    Tang, Zhao / Zhu, Yunrui / Nie, Yinyu et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

    Two-stage procedure for transportation mode detection based on sighting data

    Chen, Huey-Kuo / Ho, Hsiao-Ching / Wu, Luo-Yu et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: deep learning

    Automatic clustering-based approach for train wheels condition monitoring

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

    Application of machine learning with a surrogate model to explore seniors’ daily activity patterns

    Deng, Yiling | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Household travel mode choice estimation with large-scale data—an empirical analysis based on mobility data in Milan

    Liang, Leilei / Xu, Meng / Grant-Muller, Susan et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Analyzing travel behavior in Hanoi using Support Vector Machine

    Truong, Thi My Thanh / Ly, Hai-Bang / Lee, Dongwoo et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine 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
    Schlagwörter: motor learning