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81–100 von 654 Ergebnissen
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    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Social group detection based on multi-level consistent behaviour characteristics

    Li, Meng / Chen, Tao / Du, Hao et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: unsupervised learning

    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

    Incorporating congestion patterns into spatio-temporal deep learning algorithms

    Leiser, Neil / Yildirimoglu, Mehmet | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model

    Hesam Hafezi, Mohammad / Sultana Daisy, Naznin / Millward, Hugh et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine-learning

    GraphCast for solving the air transportation nexus among safety, efficiency, and resilience

    Freier Zugriff
    Sebastian Wandelt / Xiaoqian Sun / Jun Zhang | DOAJ | 2024
    Schlagwörter: Machine learning

    An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Estimating the effect of biofouling on ship shaft power based on sensor measurements

    Freier Zugriff
    Bakka, Haakon / Rognebakke, Hanne / Glad, Ingrid et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Prediction of extent of damage in vehicle during crash using improved XGBoost model

    Vadhwani, Diya / Thakor, Devendra | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Method for automated detection of outliers in crash simulations

    Kracker, David / Dhanasekaran, Revan Kumar / Schumacher, Axel et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Cruise dynamic pricing based on SARSA algorithm

    Wang, Jing / Yang, Dong / Chen, Kaimin et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: reinforcement Learning

    Decentralized Learning and Model Averaging Based Automatic Modulation Classification in Drone Communication Systems

    Freier Zugriff
    Min Ma / Yunhe Xu / Zhi Wang et al. | DOAJ | 2023
    Schlagwörter: deep learning , decentralized learning

    DRL-based adaptive signal control for bus priority service under connected vehicle environment

    Zhang, Xinshao / He, Zhaocheng / Zhu, Yiting et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning

    Predicting network flows from speeds using open data and transfer learning

    Freier Zugriff
    Vishal Mahajan / Guido Cantelmo / Raoul Rothfeld et al. | DOAJ | 2023
    Schlagwörter: deep learning , transfer learning

    Swarm Cooperative Navigation Using Centralized Training and Decentralized Execution

    Freier Zugriff
    Rana Azzam / Igor Boiko / Yahya Zweiri | DOAJ | 2023
    Schlagwörter: multi-agent reinforcement learning , curriculum learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Freier Zugriff
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Predicting incident duration using random forests

    Hamad, Khaled / Al-Ruzouq, Rami / Zeiada, Waleed et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    An autonomous location prediction model for maritime transport applications: a case study of Persian Gulf

    Khalilabadi, Mohammad Reza | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    STEM Learning Based on Aircraft Design: An Interdisciplinary Strategy Developed to Science Clubs Colombia

    Freier Zugriff
    Pedro David Bravo-Mosquera / Nelson David Cisneros-Insuasti / Bryann Avendaño-Uribe et al. | DOAJ | 2019
    Schlagwörter: STEM Learning , Handson Learning

    Development of a global road safety performance function using deep neural networks

    Freier Zugriff
    Guangyuan Pan / Liping Fu / Lalita Thakali | DOAJ | 2017
    Schlagwörter: Deep learning