1–10 of 19 hits
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    Efficiency of deep neural networks for joint angle modeling in digital gait assessment

    Free access
    Alcaraz, Javier Conte / Moghaddamnia, Sanam / Peissig, Jürgen | BASE | 2021
    Keywords: Maschinelles Lernen

    Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

    Free access
    Band, Shahab S. / Janizadeh, Saeid / Chandra Pal, Subodh et al. | BASE | 2020
    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

    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

    Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies

    Aydin, Galip / Hallac, Ibrahim Riza / Karakus, Betul et al. | Tema Archive | 2015
    Keywords: maschinelles Lernen

    Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures

    McDonald, Anthony D. / Lee, John D. / Schwarz, Chris et al. | Tema Archive | 2014
    Keywords: maschinelles Lernen

    A methodology for photometric validation in vehicles visual interactive systems

    Faria, A.W.C. / Menotti, D. / Pappa, G.L. et al. | Tema Archive | 2012
    Keywords: Lernen , maschinelles Lernen

    Data mining for quality control: Burr detection in the drilling process

    Ferreiro, Susana / Sierra, Basilio / Irigoien, Itziar et al. | Tema Archive | 2011
    Keywords: Lernen , maschinelles Lernen

    Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification

    Baro, X. / Escalera, S. / Vitria, J. et al. | Tema Archive | 2009
    Keywords: maschinelles Sehen , Lernen