An electronic nose (E-nose) is an intelligent system that we will use in this paper to distinguish three indoor pollutant gases (benzene (C₆H₆), toluene (C₇H₈), formaldehyde (CH₂O)) and carbon monoxide (CO). The algorithm is a key part of an E-nose system mainly composed of data processing and pattern recognition. In this paper, we employ support vector machine (SVM) to distinguish indoor pollu...

the aim of this paper is to develop a prediction model of energy demand of iran’s industrial sector. for that matter a markov chain grey model (mcgm) has been proposed to forecast such energy demand. to find the effectiveness of the proposed model, it is then compared with grey model (gm) and regression model. the comparison reveals that the mcgm model has higher precision than those of the gm ...

Free AccessImportant Keywordshttps://doi.org/10.14220/9783737013444.259SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next FiguresReferencesRelatedDetails Download book coverOsnabrücker Studien zur Jüdischen und Christlichen Bibel.Volume 8 1st editionISBN: 978-3-8471-1344-7 eISBN: 978-3-7370-1344-4Hi...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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