Łukasz Lentka - Science profile - MOST Wiedzy

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Centrum Transferu Wiedzy i Technologii
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Publication showcase

  • Determination Of Gas Mixture Components Using Fluctuation Enhanced Sensing And The LS-SVM Regression Algorithm

    - Metrology and Measurement Systems - 2015

    This paper analyses the effectiveness of determining gas concentrations by using a prototype WO3 resistive gas sensor together with fluctuation enhanced sensing. We have earlier demonstrated that this method can determine the composition of a gas mixture by using only a single sensor. In the present study, we apply Least-Squares Support-Vector-Machine-based (LS-SVM-based) nonlinear regression to determine the gas concentration...

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  • Methods of trend removal in electrochemical noise data – overview

    In this paper we shall review popular methods of trend removal from electrochemical noise time records. The basic principles of operation of the six most popular methods are explained. The proposed methods are: high - pass filtering, Moving Average Removal, polynomial detrending, wavelet detrending, Empirical Mode Decomposition and Variational Mode Decomposition. Estimation of trend removal quality...

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  • Detection of gaseous compounds with different techniques

    • J. Mikołajczyk
    • Z. Bielecki
    • T. Stacewicz
    • J. Smulko
    • J. Wojtas
    • D. Szabra
    • Ł. Lentka
    • A. Prokopiuk
    • P. Magryta

    - Metrology and Measurement Systems - 2016

    Sensing technology has been developed for detection of gases in some environmental, industrial, medical, and scientific applications. The main tasks of these works is to enhance performance of gas sensors taking into account their different applicability and scenarios of operation. This paper presents the descriptions, comparison and recent progress in some existing gas sensing technologies. Detailed introduction to optical sensing...

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