In:
International Journal of Engineering and Advanced Technology, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, Vol. 9, No. 2 ( 2019-12-30), p. 2372-2378
Kurzfassung:
In this paper we present the characteristics of sensors used to monitor the pollution levels in Mexico City, namely sulfur dioxide (SO2), nitrogen oxides (NOx), ozone (O3), , and carbon monoxide (CO). A novel algorithm to predict contamination levels is presented: the Gamma classifier. Also, a new coding technique is introduced, allowing the conversion from a series of values taken from SIMAT databases into a set of patterns, which in turn are useful for the task of pollutant forecasting. Experimental results show a competitive performance by the Gamma classifier as a predictor, when compared to other methods.
Materialart:
Online-Ressource
ISSN:
2249-8958
DOI:
10.35940/ijeat.2249-8958
DOI:
10.35940/ijeat.A2247.129219
Sprache:
Unbekannt
Verlag:
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Publikationsdatum:
2019
Permalink