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    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)

    Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable Machine Learning

    Freier Zugriff
    Panagiotis Fafoutellis / Eleni G. Mantouka / Eleni I. Vlahogianni et al. | DOAJ | 2022
    Schlagwörter: Interpretable Machine Learning

    Representative truck activity patterns from anonymous mobile sensor data

    Freier Zugriff
    Taslima Akter / Sarah Hernandez | DOAJ | 2023
    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

    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

    Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data

    Morris, Clint / Yang, Jidong J. / Chorzepa, Mi Geum et al. | ASCE | 2022
    Schlagwörter: Self-supervised deep learning

    Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design

    Worthey, Hampton / Yang, Jidong J. / Kim, S. Sonny | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Multiagent Soft Actor–Critic for Traffic Light Timing

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

    Flexible Stochastic Frontier Approach to Predict Spot Speed in Two-Lane Highways

    Couto, António | Online Contents | 2016
    Schlagwörter: Learning models (Stochastic processes)

    Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model

    Freier Zugriff
    Junhua Wang / Hao Song / Ting Fu et al. | DOAJ | 2022
    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

    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

    Multi-band Feature Images Concrete Crack Segmentation Framework Using Deep Learning

    Zhou, Shuang Xi / Pan, Yuan / Guan, Jingyuan et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning

    Hasan, Raed Abdullah / Irshaid, Hafez / Alhomaidat, Fadi et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    SEMA: A Site Equipment Management Assistant for Construction Management

    Tsai, Meng-Han / Yang, Cheng-Hsuan / Wang, Chen-Hsuan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression

    Hu, Ta-Yin | Online Contents | 2015
    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