Synonyme wurden verwendet für: Maschinelles Lernen
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    2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 20-22 June 2023 : conference location: Cleveland, Ohio, USA

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

    2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2019
    Schlagwörter: Maschinelles Lernen

    2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017

    Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers / Institute of Electrical and Electronics Engineers, Cleveland Section et al. | TIBKAT | 2017
    Schlagwörter: Maschinelles Lernen

    dashPORT : individueller Endbericht zum Forschungsprojekt Port Energy Management Dashboard Digitale Leitwarte zur Analyse und Steuerung von Energieflüssen in Häfen : dashPORT

    Freier Zugriff
    Küchle, Julius / Schmitz, Oliver / Klaus, Alexander et al. | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe

    Freier Zugriff
    Gesner, Philipp | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Estimating wildlife strike costs at US airports: A machine learning approach

    Altringer, Levi / Navin, Jordan / Begier, Michael J. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning

    Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu

    Tu, Meiting / Li, Wenxiang / Orfila, Olivier et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Using ultrasound images of the forearm to predict finger positions

    Freier Zugriff
    Castellini, Claudio / Passig, Georg / Zarka, Emanuel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2012
    Schlagwörter: machine learning

    Learning efficient haptic shape exploration with a rigid tactile sensor array

    Freier Zugriff
    Fleer, Sascha / Moringen, Alexandra / Klatzky, Roberta L. et al. | BASE | 2020
    Schlagwörter: Machine learning algorithms , Machine learning

    Role of Machine Learning for Ad Hoc Networks

    Gaba, Shivani / Aggarwal, Alankrita / Nagpal, Shally | Wiley | 2021
    Schlagwörter: machine learning

    Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions

    Wu, Xinyi / Tao, Tao / Cao, Jason et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Non-linear associations between the built environment and the physical activity of children

    Huang, Xiaoyan / Lu, Gaigai / Yin, Jiangbin et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction

    Gao, Kun / Yang, Ying / Qu, Xiaobo | Elsevier | 2021
    Schlagwörter: Machine learning

    Nonlinear effects of the built environment on metro-integrated ridesourcing usage

    Jin, Tanhua / Cheng, Long / Zhang, Xucai et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Machine learning estimates of plug-in hybrid electric vehicle utility factors

    Goebel, David / Plötz, Patrick | Elsevier | 2019
    Schlagwörter: Machine learning

    Modeling time-of-day car use behavior: A Bayesian network approach

    Li, Dawei / Miwa, Tomio / Morikawa, Takayuki | Elsevier | 2016
    Schlagwörter: Machine learning