Synonyme wurden verwendet für: learning
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1–20 von 59 Ergebnissen
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    A comprehensive review of trip generation models based on land use characteristics

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

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

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

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

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

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

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

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Assessing driving behavior influence on fuel efficiency using machine-learning and drive-cycle simulations

    Mohammadnazar, Amin / Khattak, Zulqarnain H. / Khattak, Asad J. | Elsevier | 2023
    Schlagwörter: Machine learning

    A time series clustering based approach for construction of real-world drive cycles

    Ganesh Sundarkumar, G. / B. V., Subramanya Bharadwaj / Munigety, Caleb Ronald et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Built environment’s nonlinear effects on mode shares around BRT and rail stations

    Sajjad Abdollahpour, Seyed / Buehler, Ralph / Le, Huyen T.K. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Clustering sensor data for autonomous terrain identification using time-dependency

    Giguere, Philippe / Dudek, Gregory | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    Deep collaborative learning model for port-air pollutants prediction using automatic identification system

    Sim, Sunghyun / Park, Jin-Hyoung / Bae, Hyerim | Elsevier | 2022
    Schlagwörter: Deep Collaborative Learning

    Developing Machine learning models for hyperlocal traffic related particulate matter concentration mapping

    Desai, Salil / Tayarani, Mohammad / Oliver Gao, H. | Elsevier | 2022
    Schlagwörter: Machine Learning

    Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting

    Haase, Enrico | Elsevier | 2022
    Schlagwörter: Machine learning

    Environmental screening model of driving behavior for an electric bus entering and leaving stops

    Zhang, Yali / Fu, Rui / Guo, Yingshi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

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

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

    Examining active travel behavior through explainable machine learning: Insights from Beijing, China

    Yin, Ganmin / Huang, Zhou / Fu, Chen et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

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

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

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

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

    Exploring nonlinear built environment effects on driving with a mixed-methods approach

    Tao, Tao / Næss, Petter | Elsevier | 2022
    Schlagwörter: Machine learning

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

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