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101–120 von 198 Ergebnissen
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    Integrating data-driven and simulation models to predict traffic state affected by road incidents

    Shafiei, Sajjad / Mihăiţă, Adriana-Simona / Nguyen, Hoang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data

    Basso, Franco / Cifuentes, Álvaro / Cuevas-Pavincich, Francisca et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Interpretable Machine Learning

    DLW-Net model for traffic flow prediction under adverse weather

    Yao, Ronghan / Zhang, Wensong / Long, Meng | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Estimating cycle-level real-time traffic movements at signalized intersections

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Prediction of pedestrians’ wait-or-go decision using trajectory data based on gradient boosting decision tree

    Xin, Xiuying / Jia, Ning / Ling, Shuai et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble learning

    Electric vehicle charging demand forecasting using deep learning model

    Yi, Zhiyan / Liu, Xiaoyue Cathy / Wei, Ran et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Development of a novel engine power model to estimate heavy-duty truck fuel consumption

    Kan, Yuheng / Liu, Hao / Lu, Xiaoyun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

    Freier Zugriff
    Coraddu, Andrea / Oneto, Luca / Cipollini, Francesca et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: multitask learning

    Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method

    Mahmoodi, Kumars / Nowruzi, Hashem | Taylor & Francis Verlag | 2022
    Schlagwörter: extreme learning machine

    Optimizing sensitivity parameters of automated driving vehicles in an open heterogeneous traffic flow system

    Bouadi, Marouane / Jia, Bin / Jiang, Rui et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    Bayesian and machine learning-based fault detection and diagnostics for marine applications

    Freier Zugriff
    Cheliotis, Michail / Lazakis, Iraklis / Cheliotis, Angelos | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Ship selection in port state control: status and perspectives

    Yan, Ran / Wang, Shuaian / Peng, Chuansheng | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning in maritime transportation

    Marine accident learning with Fuzzy Cognitive Maps: a method to model and weight human-related contributing factors into maritime accidents

    Navas de Maya, Beatriz / Kurt, R. E. | Taylor & Francis Verlag | 2022
    Schlagwörter: marine accident learning with fuzzy cognitive maps

    Application of machine learning with a surrogate model to explore seniors’ daily activity patterns

    Deng, Yiling | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Joint learning of video images and physiological signals for lane-changing behavior prediction

    Gao, Jun / Yi, Jiangang / Murphey, Yi Lu | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    IMM/EKF filter based classification of real-time freeway video traffic without learning

    Ouessai, Asmâa / Keche, Mokhtar | Taylor & Francis Verlag | 2022
    Schlagwörter: learning

    Prediction model of crash severity in imbalanced dataset using data leveling methods and metaheuristic optimization algorithms

    Danesh, Akbar / Ehsani, Mehrdad / Moghadas Nejad, Fereidoon et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning algorithm

    Real-time optimal trajectory planning for autonomous vehicles and lap time simulation using machine learning

    Freier Zugriff
    Garlick, S. / Bradley, A. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Ship classification based on convolutional neural networks

    Yang, Yang / Ding, Kaifa / Chen, Zhuang | Taylor & Francis Verlag | 2022
    Schlagwörter: transfer learning

    Modeling lateral movement decisions of powered two wheelers in disordered heterogeneous traffic conditions

    Amrutsamanvar, Rushikesh | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning