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

41–60 von 167 Ergebnissen
|

    Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

    Aboah, Armstrong / Adu-Gyamfi, Yaw / Gursoy, Senem Velipasalar et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data

    Freier Zugriff
    Mohammad Tamim Kashifi / Mohammed Al-Turki / Abdul Wakil Sharify | DOAJ | 2023
    Schlagwörter: Deep Hybrid Learning

    Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis

    Balogun, Ibrahim / Attoh-Okine, Nii | ASCE | 2023
    Schlagwörter: Deep learning

    Hierarchical Driving Strategy for Connected and Autonomous Vehicles Making a Protected Left Turn at Signalized Intersections

    Du, Danfeng / Shen, Mingyu / Guo, Xiurong et al. | ASCE | 2023
    Schlagwörter: Deep reinforcement learning (DRL)

    Traffic Order Analysis of Intersection Entrance Based on Aggressive Driving Behavior Data Using CatBoost and SHAP

    Zhao, Xiaohua / Qi, Hang / Yao, Ying et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Modeling and assessment of accidental subsea gas leakage using a coupled computational fluid dynamics and machine learning approaches

    Ellethy, Ahmed M / Shehata, Ahmed S / Shehata, Ali I et al. | SAGE Publications | 2023
    Schlagwörter: machine learning

    A New Framework for Regional Traffic Volumes Estimation with Large-Scale Connected Vehicle Data and Deep Learning Method

    Khadka, Swastik / Wang, Peirong “Slade” / Li, Pengfei “Taylor” et al. | ASCE | 2023
    Schlagwörter: Deep learning

    Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement

    Wang, Bao / Luo, Xia / Wang, Zongwei et al. | ASCE | 2023
    Schlagwörter: Deep learning

    Mode shift behaviour and user willingness to adopt the electric two-wheeler: A study based on Indian road user preferences

    Freier Zugriff
    Manivel Murugan / Sankaran Marisamynathan | DOAJ | 2023
    Schlagwörter: Machine learning

    The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

    Freier Zugriff
    Xiaofei Wang / Siyu Li / Tianjie Shen et al. | DOAJ | 2023
    Schlagwörter: Machine learning

    Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

    Li, Yuanping / Ma, Changxi | ASCE | 2023
    Schlagwörter: Kernel extreme learning machine (KELM)

    Representative truck activity patterns from anonymous mobile sensor data

    Freier Zugriff
    Taslima Akter / Sarah Hernandez | DOAJ | 2023
    Schlagwörter: Machine learning

    Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

    Freier Zugriff
    Tianyang Luo / Junhua Wang / Ting Fu et al. | DOAJ | 2023
    Schlagwörter: Machine learning approach

    Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

    Freier Zugriff
    Seyedmirsajad Mokhtarimousavi / Armin Mehrabi | DOAJ | 2023
    Schlagwörter: Machine learning

    On the use of Fourier Features-Physics Informed Neural Networks (FF-PINN) for forward and inverse fluid mechanics problems

    Sallam, Omar / Fürth, Mirjam | SAGE Publications | 2023
    Schlagwörter: deep learning

    Multiagent Soft Actor–Critic for Traffic Light Timing

    Wu, Lan / Wu, Yuanming / Qiao, Cong et al. | ASCE | 2023
    Schlagwörter: Deep reinforcement learning

    Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca

    Song, Qiwei / Li, Wenjing / Li, Jintai et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Pore Structure Identification Method for Pervious Concrete Based on Improved UNet and Fusion Algorithm

    Yu, Fan / Li, Kailang / Zhang, Hua et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Framework for Improving Object Recognition of Structural Components in Construction Site Photos Using Deep Learning Approaches

    Park, Sang Mi / Lee, Jae Hee / Kang, Leen Seok | Springer Verlag | 2023
    Schlagwörter: Deep 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