1–19 von 19 Ergebnissen
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    A comparison of machine learning classifiers for energy-efficient implementation of seizure detection

    Freier Zugriff
    Manzouri, Farrokh / Heller, Simon / Dümpelmann, Matthias et al. | BASE | 2018
    Schlagwörter: Maschinelles Lernen

    Simulation-driven machine learning for robotics and automation

    Freier Zugriff
    El-Shamouty, Mohamed / Kleeberger, Kilian / Lämmle, Arik et al. | BASE | 2019
    Schlagwörter: Bestärkendes Lernen , maschinelles Lernen

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

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

    Automotive fault diagnosis - part II: a distributed agent diagnostic system

    Murphey, Y.L. / Crossman, J.A. / Chen, ZhiHang et al. | Tema Archiv | 2003
    Schlagwörter: Lernen , 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 Archiv | 2014
    Schlagwörter: maschinelles Lernen

    A methodology for photometric validation in vehicles visual interactive systems

    Faria, A.W.C. / Menotti, D. / Pappa, G.L. et al. | Tema Archiv | 2012
    Schlagwörter: Lernen , 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 Archiv | 2015
    Schlagwörter: maschinelles Lernen

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

    Freier Zugriff
    Band, Shahab S. / Janizadeh, Saeid / Chandra Pal, Subodh et al. | BASE | 2020
    Schlagwörter: Maschinelles Lernen

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

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

    Lane change intent analysis using robust operators and sparse Bayesian learning

    McCall, J.C. / Wipf, D.P. / Trivedi, M.M. et al. | Tema Archiv | 2007
    Schlagwörter: maschinelles Sehen , Lernen

    Traffic accident analysis using machine learning paradigms

    Chong, M. / Abraham, A. / Paprzycki, M. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Image processing system for pedestrian monitoring using neural classification of normal motion patterns

    Boghossian, B.A. / Velastin, S.A. | Tema Archiv | 1999
    Schlagwörter: maschinelles Sehen , Lernen

    A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning

    Yi Lu / Tie Qi Chen / Hamilton, B. | Tema Archiv | 2000
    Schlagwörter: maschinelles Lernen

    Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen

    Schmitz, U. | Tema Archiv | 1995
    Schlagwörter: maschinelles Sehen , Lernen

    Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system

    Cherng, Shen / Fang, Chiung-Yao / Chen, Chia-Pei et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems

    Freier Zugriff
    Müller, Tobias Carsten / Krieger, Olaf / Breuer, Andreas et al. | BASE | 2009
    Schlagwörter: Maschinelles Lernen

      A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems

      Freier Zugriff
      Müller, Tobias Carsten / Krieger, Olaf / Breuer, Andreas et al. | BASE | 2009
      Schlagwörter: Maschinelles Lernen

    Efficiency of deep neural networks for joint angle modeling in digital gait assessment

    Freier Zugriff
    Alcaraz, Javier Conte / Moghaddamnia, Sanam / Peissig, Jürgen | BASE | 2021
    Schlagwörter: Maschinelles Lernen

    Clustering sensor data for autonomous terrain identification using time-dependency

    Giguere, Philippe / Dudek, Gregory | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen