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    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine learning

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: maschinelles Lernen

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: maschinelles Lernen

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Machine learning

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: maschinelles Lernen

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Transit electrification state of the art: A machine-learning based text mining approach

    Eldeeb, Gamal / Mohamed, Moataz | Elsevier | 2022
    Schlagwörter: Machine learning text mining

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Schlagwörter: Bayesian machine learning

    Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers

    D. Watts / P. Harrison | NTIS | 2020
    Schlagwörter: Machine learning

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Machine Learning

    The impact of smart traffic interventions on roadside air quality employing machine learning approaches

    Munir, Said / Luo, Zhiwen / Dixon, Tim et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    The Causality for Climate Challenge

    Freier Zugriff
    Runge, Jakob / Tibau Alberdi, Xavier Andoni / Bruhns, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: machine learning

    Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning

    Mordohai, Philippos / Medioni, Gérard | TIBKAT | 2006
    Schlagwörter: Machine learning

    SWS High-Level Overview

    J. Koelling / M. Davies / K. Ellis | NTIS | 2019
    Schlagwörter: Machine learning

    Surface EMG for Force Control of Mechanical Hands

    Freier Zugriff
    Castellini, Claudio / Smagt van der, Patrick / Sandini, Giulio et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2008
    Schlagwörter: machine learning

    Stereo vision system for longitudinal and lateral control of heterogeneous vehicle platoons on unstructured environment

    Alfraheed, Mohammad | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen

    Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications

    Wu, Jishi / Jia, Peng / Feng, Tao et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Spatial disparity of individual and collective walking behaviors: A new theoretical framework

    Jiang, Yuxiao / Chen, Long / Grekousis, George et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation

    Jarrold, Martin / Meltzer, David | Springer Verlag | 2020
    Schlagwörter: Machine learning

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