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101–120 von 198 Ergebnissen
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    Modeling freight mode choice using machine learning classifiers: a comparative study using Commodity Flow Survey (CFS) data

    Uddin, Majbah / Anowar, Sabreena / Eluru, Naveen | Taylor & Francis Verlag | 2021
    Schlagwörter: machine 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

    Characterizing parking systems from sensor data through a data-driven approach

    Arjona Martinez, Jamie / Linares, Maria Paz / Casanovas, Josep | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    A self-learning system for local ramp metering with queue management

    Lu, Chao / Huang, Jie | Taylor & Francis Verlag | 2017
    Schlagwörter: reinforcement learning

    Predicting the traction power of metropolitan railway lines using different machine learning models

    Pineda-Jaramillo, J. / Martínez-Fernández, P. / Villalba-Sanchis, I. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine 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

    Multimode trip information detection using personal trajectory data

    Yang, Fei / Yao, Zhenxing / Cheng, Yang et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: machine learning algorithm

    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

    MODELLING LEARNING AND ADAPTATION IN TRANSPORTATION CONTEXTS

    Arentze, Theo / Timmermans, Harry | Taylor & Francis Verlag | 2005
    Schlagwörter: learning and adaptation

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-learning

    A behavioral analysis of freight mode choice decisions

    Samimi, Amir / Kawamura, Kazuya / Mohammadian, Abolfazl | Taylor & Francis Verlag | 2011
    Schlagwörter: machine learning

    Predictive modelling of injury severity in bicycle–motor vehicle collisions utilizing learning vector quantization: a case study of Britain’s cycling capital

    Siamidoudaran, Meisam / Siamidodaran, Mehdi / Iscioglu, Ersun | Taylor & Francis Verlag | 2021
    Schlagwörter: learning vector quantization

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Schlagwörter: ensemble 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

    Problems Encountered during Implementation of the Backpropagation

    Kim, Daehyon | Taylor & Francis Verlag | 1999
    Schlagwörter: Learning rate , Learning mode

    Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features

    Khan, Md Nasim / Das, Anik / Ahmed, Mohamed M. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

    Yuksel, A. S. / Atmaca, S. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Active learning metamodelling for survival rate analysis of simulated emergency medical systems

    Antunes, Francisco / Amorim, Marco / Pereira, Francisco et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Active learning

    An iterative learning approach for anticipatory traffic signal control on urban networks

    Huang, Wei / Viti, Francesco / Tampère, Chris M.J. | Taylor & Francis Verlag | 2017
    Schlagwörter: iterative learning