Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–20 von 533 Ergebnissen
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    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Schlagwörter: Machine learning

    Predicting passenger satisfaction in public transportation using machine learning models

    Ruiz, Elkin / Yushimito, Wilfredo F. / Aburto, Luis et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    GraphCast for solving the air transportation nexus among safety, efficiency, and resilience

    Freier Zugriff
    Sebastian Wandelt / Xiaoqian Sun / Jun Zhang | DOAJ | 2024
    Schlagwörter: Machine learning

    Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city

    Sun, Shan / Guo, Liang / Yang, Shuo et al. | Elsevier | 2024
    Schlagwörter: Machine learning

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

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

    Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

    Yu, Hongmei / Ye, Xiaofei / Liu, Lining et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities

    Tong, Zhaomin / Zhang, Ziyi / An, Rui et al. | Elsevier | 2024
    Schlagwörter: Machine learning model

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

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

    Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles

    Hassanieh, Wael / Chehade, Abdallah / Facchinetti, Alan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

    Ashik, F.R. / Sreezon, A.I.Z. / Rahman, M.H. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

    Freier Zugriff
    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Schlagwörter: Applied Machine Learning

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

    Freier Zugriff
    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Schlagwörter: Explainable machine learning

    Enhancing Driver Safety and Experience: Real-Time Facial Expression Detection in Smart Vehicles with Vision Systems

    Mishra, Siba / Mishra, Soumya Ranjan / Mahapatra, Hitesh et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

    Freier Zugriff
    Xingyi Zhu / Yanan Wu / Yang Yang et al. | DOAJ | 2024
    Schlagwörter: Machine learning

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data

    Freier Zugriff
    Haase-Schütz, Christian | TIBKAT | 2024
    Schlagwörter: Deep learning , Maschinelles Lernen

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns

    Yu, Yong / Hu, Tianyu | Springer Verlag | 2024
    Schlagwörter: Machine learning