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1–20 von 153 Ergebnissen
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    Periodenübergreifende Budgetallokation in der Instandhaltung modularer Systeme - ein Anwendungsfall von Deep Reinforcement Learning

    Freier Zugriff
    Krause, Michael / Technische Universität Clausthal | TIBKAT | 2021
    Schlagwörter: Deep learning , Bestärkendes Lernen

    Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020

    Freier Zugriff
    Straube, Frank / Poschmann, Peter / Weinke, Manuel et al. | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen

    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine , Machine learning

    Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

    Freier Zugriff
    Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Machine learning and deep learning

    Freier Zugriff
    Janiesch, Christian / Zschech, Patrick / Heinrich, Kai | Online Contents | 2021
    Schlagwörter: Deep learning , Machine learning

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning , Meta-learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Machine learning , Deep 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: Learning , Machine learning algorithms , Machine learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

    Liu, Shan / Zhang, Ya / Wang, Zhengli et al. | Elsevier | 2023
    Schlagwörter: Inverse reinforcement learning , Ensemble learning

    Warning systems triggered by trains increase flight-initiation times of wildlife

    Backs, Jonathan A.J. / Nychka, John A. / St. Clair, Colleen Cassady | Elsevier | 2020
    Schlagwörter: Learning

    Testing the TASP: An experimental investigation of learning in games with unstable equilibria

    Freier Zugriff
    Cason, Timothy N. / Friedman, Daniel / Hopkins, Ed | BASE | 2009
    Schlagwörter: learning , Lernprozess

    Deep reinforcement learning for the optimal placement of cryptocurrency limit orders

    Freier Zugriff
    Schnaubelt, Matthias | BASE | 2020
    Schlagwörter: Machine learning , Deep Reinforcement Learning

    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

    Hub-and-spoke network design under congestion: A learning based metaheuristic

    Karimi-Mamaghan, Maryam / Mohammadi, Mehrdad / Pirayesh, Amir et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Learning based Metaheuristics

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

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

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

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning