Exploration of bacterial strains with bioremediation potential for mercury and cyanide from mine tailings in 'San Carlos de las Minas, Ecuador'

Autor: Cristina Calderón-Tapia, Edinson Medina-Barrera, Nelson Chuquin-Vasco, Jorge Vasco-Vasco, Juan Chuquin-Vasco, Sebastian Guerrero-Luzuriaga

Publikováno v: AIMS Environmental Science, Vol 11, Iss 3, Pp 381-400 (2024)

Ecuador is a developing country that relies on mining as a significant source of economic income every year; however, there needs to be more studies on the soil pollution caused by mining over time. Biological remediation as an alternative to the use

Externí odkaz: https://doaj.org/article/5a673becb5d244c296b6a4de17194b66

Forecasting mixture composition in the extractive distillation of n-hexane and ethyl acetate with n-methyl-2-pyrrolidone through ANN for a preliminary energy assessment

Autor: Daniel Chuquin-Vasco, Dennise Chicaiza-Sagal, Cristina Calderón-Tapia, Nelson Chuquin-Vasco, Juan Chuquin-Vasco, Lidia Castro-Cepeda

Publikováno v: AIMS Energy, Vol 12, Iss 2, Pp 439-463 (2024)

We developed an artificial neural network (ANN) to predict mole fractions in the extractive distillation of an n-hexane and ethyl acetate mixture, which are common organic solvents in chemical and pharmaceutical manufacturing. The ANN was trained on

Externí odkaz: https://doaj.org/article/beb07344c66447bea271e4b74e5df9da

Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

Autor: Daniel Chuquin-Vasco, Francis Parra, Nelson Chuquin-Vasco, Juan Chuquin-Vasco, Vanesa Lo-Iacono-Ferreira

Publikováno v: Energies, Vol 14, Iss 13, p 3965 (2021)

The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in the open-source simulation software

Externí odkaz: https://doaj.org/article/6bed4d5f8faa46c0b2cfce96f37ddef0

Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

Autor: Nelson Chuquin-Vasco, Daniel Chuquin-Vasco, Juan Chuquin-Vasco, Francis Parra, Vanesa G. Lo-Iacono-Ferreira

Publikováno v: Energies, Vol 14, Iss 3965, p 3965 (2021)
Energies
Volume 14
Issue 13
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in the open-source simulation software

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ad3369be22c7c775dc49ff563b7a6c
https://www.mdpi.com/1996-1073/14/13/3965

MODELACIÓN MATEMÁTICA DEL SISTEMA HIDRÁULICO DE LA RED DE AGUA POTABLE DE LA CIUDAD DE RIOBAMBA

Autor: Nelson Chuquin, Daniel Chuquin, Juan Chuquin, J. Soriano, Gloria Miño

Publikováno v: Perfiles. 1:37-49

Los sistemas de distribución de agua potable constituyen una pieza clave en el bienestar y el desarrollo de una población, siendo importante el estudio técnico y minucioso de la misma. El objetivo del estudio fue desarrollar un modelo hidráulico

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb13cdd65cd58ecaa62898435a6f476d
https://doi.org/10.47187/perf.v1i19.25