Now showing items 1-3 of 3

  • Classification Of Traffic Signs By Convolutional Neural Networks 

    Mivalt, Filip; Nejedly, Petr (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018)
    The paper presented here describes traffic signs classification method based on a convolutional neural network (CNN). The CNN was trained and tested on the public database of German traffic signs with 43 mostly used traffic ...
  • Evaluation Of Flow-Induced Voltage Fluctuations Of Gas Chemiresistors By Parametric Empirical Model 

    Mivalt, Filip (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018)
    Analyses of voltage or current fluctuations in gas chemical sensors provide precise evaluation metrics for non-flowing gases. Automatic analysis of sensed flowing gas fluctuations is challenging task. The signal is a ...
  • Software Framework For A Development Of Equivalent-Circuit Model 

    Mivalt, Filip (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2017)
    The paper describes a software for development of equivalent-circuit models and its parameters estimation on the basis of experimental data. The software engine contains set of features neccesary for impedance computing ...