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101–120 von 204 Ergebnissen
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    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

    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

    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

    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

    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

    Ship classification based on convolutional neural networks

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

    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

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

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

    A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems

    Freier Zugriff
    Velasco-Gallego, Christian / Lazakis, Iraklis | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning models

    A machine learning method for the evaluation of hydrodynamic performance of floating breakwaters in waves

    Freier Zugriff
    Saghi, Hassan / Mikkola, Tommi / Hirdaris, Spyros | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble and machine learning

    GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

    Guo, Jingqiu / Liu, Yangzexi / Yang, Qingyan (Ken) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow

    Parsa, Amir Bahador / Shabanpour, Ramin / Mohammadian, Abolfazl (Kouros) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning