Forecast of pollutants in the rio santiago, using data fusion technique using statistical and regression methods

Autor:	Marco A. Perez Cisneros, Alicia Garcia Arreola, L. J. Miguel Moran
Rok vydání:	2016
Předmět:	Pollutant Correlation coefficient Meteorology Linear regression Environmental science Statistical analysis Sample (statistics) Sensor fusion computer.software_genre computer Regression Data integration
Zdroj:	2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).
DOI:	10.1109/iciea.2016.7603890
Popis:	Data fusion aims at combining the results of sample shots in order to get a forecast on the concentration of pollutants in water, based on the presence of another. This paper presents the relationship between pollutants in the Santiago River by merging of data using statistical analysis methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e538338e2ea95e75c48d00c5c88fc23b https://doi.org/10.1109/iciea.2016.7603890 Zobrazit plný text záznamu