Synonyme wurden verwendet für: Lernen maschinelles Lernen
Suche ohne Synonyme: keywords:(maschinelles Lernen)

61–80 von 151 Ergebnissen
|

    Interpretable data-driven demand modelling for on-demand transit services

    Alsaleh, Nael / Farooq, Bilal | Elsevier | 2021
    Schlagwörter: Machine learning

    Interpretability Analysis of Shear Capacity in Reinforced Recycled Aggregate Concrete Beams Using Tree Models

    Li, Li / Qin, Yapeng / Zhang, Yang et al. | Springer Verlag | 2024
    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

    In-store shopping trip predictions and impact factors during COVID-19 emergencies

    Imran, Md Ashraful / Hyun, Kate | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA

    Hong, Shuyao / Zhao, Fang / Livshits, Vladimir et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

    Liu, Yicong / Miller, Eric J. / Habib, Khandker Nurul | ASCE | 2023
    Schlagwörter: Machine learning model

    Ineffective built environment interventions: How to reduce driving in American suburbs?

    Tao, Tao / Cao, Jason | Elsevier | 2023
    Schlagwörter: Machine learning

    Imputing trip purposes for long-distance travel

    Lu, Yijing / Zhang, Lei | Online Contents | 2015
    Schlagwörter: Machine learning

      Imputing trip purposes for long-distance travel

      Lu, Yijing / Zhang, Lei | Online Contents | 2015
      Schlagwörter: Machine learning

    Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships

    Xu, Yiming / Yan, Xiang / Liu, Xinyu et al. | Elsevier | 2020
    Schlagwörter: Interpretable machine learning

    Hybrid Prediction Model of Engineering Classification of Slope Rock Mass Based on DCWA-EO-AdaBoost Model and BQ Method

    Wang, Han / Gao, Yongtao / Xie, Yongsheng et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Hybrid approaches for container traffic forecasting in the context of anomalous events: The case of the Yangtze River Delta region in the COVID-19 pandemic

    Huang, Dong / Grifoll, Manel / Sanchez-Espigares, Jose A. et al. | Elsevier | 2022
    Schlagwörter: Machine learning model

    How the built environment affects E-scooter sharing link flows: A machine learning approach

    Jin, Scarlett T. / Wang, Lei / Sui, Daniel | Elsevier | 2023
    Schlagwörter: Machine learning

    How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference

    Cai, Yunhao / Jing, Peng / Wang, Baihui et al. | Elsevier | 2023
    Schlagwörter: Double machine learning

    Generalized Linear Models to Identify the Impact of Road Geometric Design Features on Crash Frequency in Rural Roads

    Khedher, Moataz Bellah Ben / Yun, Dukgeun | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Machine learning , Deep learning

    Forecasting transportation demand for the U.S. market

    Plakandaras, Vasilios / Papadimitriou, Theophilos / Gogas, Periklis | Elsevier | 2019
    Schlagwörter: Machine learning

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

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

    Forecasting container freight rates using the Prophet forecasting method

    Saeed, Naima / Nguyen, Su / Cullinane, Kevin et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM

    Kim, Hyun Il / Kim, Byung Hyun | Springer Verlag | 2020
    Schlagwörter: Machine learning