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    A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes

    Free access
    Ibtissem Daoudi / Raoudha Chebil / Wided Lejouad Chaari | BASE | 2017
    Keywords: learning process

    A comparison of machine learning classifiers for energy-efficient implementation of seizure detection

    Free access
    Manzouri, Farrokh / Heller, Simon / Dümpelmann, Matthias et al. | BASE | 2018
    Keywords: Maschinelles Lernen

    Identification of the Students Learning Process During Education Robotics Activities

    Free access
    Scaradozzi D. / Cesaretti L. / Screpanti L. et al. | BASE | 2020
    Keywords: learning analytic , learning process identification

    Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens

    Free access
    Bettinger, Tobias | TIBKAT | 2023
    Keywords: Maschinelles Lernen

    Simulation-driven machine learning for robotics and automation

    Free access
    El-Shamouty, Mohamed / Kleeberger, Kilian / Lämmle, Arik et al. | BASE | 2019
    Keywords: Bestärkendes Lernen , maschinelles Lernen

    Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems

    Free access
    Herman, Michael | TIBKAT | 2020
    Keywords: Maschinelles Lernen , Bestärkendes Lernen (Künstliche Intelligenz)

    Latent State-Space Models for Control

    Free access
    Becker-Ehmck, Philip | TIBKAT | 2022
    Keywords: Maschinelles Lernen , Bestärkendes Lernen

    Developing state-of-the-art materials informatics methods for Calphad modeling of multicomponent materials

    Free access
    Obaied, Abdulmonem / Fakultät für Maschinenbau | TIBKAT | 2023
    Keywords: Maschinelles Lernen

    Context-supported lane estimation : understanding the scene by learning spatial relations between semantic features and virtual ground truth

    Free access
    Schomerus, Volker Patricio / Technische Universität Braunschweig | TIBKAT | 2016
    Keywords: Maschinelles Lernen

    Artificial Intelligence for Spectral Analysis: a Comprehensive Framework

    Free access
    Xie, Xiang | TIBKAT | 2023
    Keywords: Maschinelles Lernen

    Development of a modular knowledge-discovery framework based on machine learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes

    Free access
    Botticelli, Massimiliano | TIBKAT | 2023
    Keywords: Machine Learning Application , Maschinelles Lernen

    Combining learning and structure for robotic manipulation

    Free access
    Kloss, Alina | TIBKAT | 2020
    Keywords: Deep learning , Maschinelles Lernen

    Automated Glaucoma Detection with Optical Coherence Tomography ; Automatische Glaukomerkennung mit optischer Kohärenztomographie

    Free access
    Mayer, Markus | BASE | 2018
    Keywords: Maschinelles Lernen , Überwachtes Lernen

    Deep Reinforcement Learning for the Navigation of Neurovascular Catheters

    Free access
    Behr, Tobias / Pusch, Tim Philipp / Siegfarth, Marius et al. | BASE | 2019
    Keywords: deep learning , Bestärkendes Lernen

    A framework for current signal based bearing fault detection of permanent magnet synchronous motors

    Free access
    Wagner, Tobias | TIBKAT | 2023
    Keywords: Maschinelles Lernen

    Qualitätsparameter mobil erfasster Feinstaubsensordaten

    Free access
    Röger, Christian | TIBKAT | 2022
    Keywords: Maschinelles Lernen

    Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug

    Free access
    Palm, Kerstin | TIBKAT | 2024
    Keywords: Maschinelles Lernen

    Automatisierte Trennung und Zuordnung von Geräuschanteilen im Innenraum von Elektrofahrzeugen

    Free access
    Zeevaert, Kira | TIBKAT | 2023
    Keywords: Maschinelles Lernen

    Learning mobile manipulation actions from human demonstrations : an approach to learning and augmenting action models and their integration into task representations

    Free access
    Welschehold, Tim | TIBKAT | 2020
    Keywords: Maschinelles Lernen

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

    Free access
    Straube, Frank / Poschmann, Peter / Weinke, Manuel et al. | TIBKAT | 2020
    Keywords: Maschinelles Lernen

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