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Synonyms were used for: Lernen • maschinelles Lernen
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    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Keywords: Unsupervised machine learning

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Keywords: Machine learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Keywords: Machine learning

    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archive | 2003
    Keywords: maschinelles Sehen , Lernen

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Springer Verlag | 2018
    Keywords: machine learning

      Vibration-based Damage Detection in Bridges via Machine Learning

      Sun, Shuang / Liang, Li / Li, Ming et al. | Online Contents | 2018
      Keywords: machine learning

    Verification of Image-Based Neural Network Controllers Using Generative Models

    Katz, Sydney M. / Corso, Anthony L. / Strong, Christopher A. et al. | AIAA | 2022
    Keywords: Machine Learning

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Keywords: Machine learning

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archive | 2002
    Keywords: Lernen , maschinelles Lernen

    Using supervised machine learning algorithms in pavement degradation monitoring

    Free access
    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Keywords: Machine Learning

    Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India

    Dasgupta, Nataraj | Elsevier | 2022
    Keywords: Machine learning

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Keywords: Machine learning

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Keywords: Explainable machine learning

    Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

    Surbhi Singh, Sumedha / Jeganathan, C. | Elsevier | 2023
    Keywords: Ensemble machine learning

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

    Jain, Tanish / Misra, Shlok / Truong, Dothang | AIAA | 2022
    Keywords: Machine Learning

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archive | 2007
    Keywords: Lernen , maschinelles Lernen

    Unveiling the influential factors for customized bus service reopening from naturalistic observations in Shanghai

    Free access
    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Keywords: Explainable machine learning

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Keywords: Unsupervised learning , Machine learning

    Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

    Yousefzadeh Barri, Elnaz / Farber, Steven / Jahanshahi, Hadi et al. | Elsevier | 2022
    Keywords: Machine learning

    Understanding market competition between transportation network companies using big data

    Huang, Guan / Liang, Yuebing / Zhao, Zhan | Elsevier | 2023
    Keywords: Interpretable machine learning

    Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis

    Ji, Shujuan / Wang, Xin / Lyu, Tao et al. | Elsevier | 2022
    Keywords: Machine learning

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