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Estimating water content of natural gas mixtures considering heavy hydrocarbons contribution using artificial neural networks
ArticleAbstract: The accurate estimation of the water content of natural gas is the basis for proper equipment designPalabras claves:artificial neural networks, gas richness, heavy hydrocarbons, natural gas, water contentAutores:Carlos Veloz, Jhon Montenegro, Marvin RicaurteFuentes:scopusUSE OF CERAMIC MEMBRANES COATED WITH CuO AND ZrO2 IN THE OXIDATION OF CO TO CO2
ArticleAbstract: This study evaluated the use of coated ceramic membranes (CCMs) with copper and zirconium oxides inPalabras claves:ceramic dip-coating, Ceramic membranes, CO oxidation, CuO and ZrO catalyzer 2, CuO and ZrO2 catalyzerAutores:Andrés Chico, Andres Chico-Proano, C. Navas, Carmen Navas, Jhon Montenegro, Montenegro J., Rafael Úribe, Sosa M.Fuentes:googlescopusPredictive modeling of the primary settling tanks based on artificial neural networks for estimating TSS and COD as typical effluent parameters
ArticleAbstract: A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks’ (Palabras claves:artificial neural networks, chemical oxygen demand, primary settling tanks, Process modeling, total suspended solids, wastewater treatment plantsAutores:Alicia Estela Sommer Márquez, Andrea M. Gallardo, Carlos Veloz, Esteban Pazmiño-Arias, Jhon Montenegro, Marvin RicaurteFuentes:scopus