Relating ions concentration variations to conductivity variations in a sequencing batch reactor operated for enhanced biological phosphorus removal. - Daniel Aguado; Tatiana Montoya; José Ferrer; Aurora Seco (Environ. Model. Softw., 2006)

Using SOM and PCA for analysing and interpreting data from a P-removal SBR. - Daniel Aguado; Tatiana Montoya; L. Borras; Aurora Seco; José Ferrer (Eng. Appl. Artif. Intell., 2008)

DESASS: A software tool for designing, simulating and optimising WWTPs. - José Ferrer; Aurora Seco; Joaquin Serralta; J. Ribes; J. Manga; E. Asensi; J. J. Morenilla; F. Llavador (Environ. Model. Softw., 2008)

A methodology for sequencing batch reactor identification with artificial neural networks: A case study. - Daniel Aguado; J. Ribes; Tatiana Montoya; José Ferrer; Aurora Seco (Comput. Chem. Eng., 2009)

Use of neurofuzzy networks to improve wastewater flow-rate forecasting. - F. J. Fernandez; Aurora Seco; José Ferrer; Manuel A. Rodrigo (Environ. Model. Softw., 2009)

A systematic approach for fine-tuning of fuzzy controllers applied to WWTPs. - M. V. Ruano; J. Ribes; Gürkan Sin; Aurora Seco; José Ferrer (Environ. Model. Softw., 2010)

An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors. - M. V. Ruano; J. Ribes; Aurora Seco; José Ferrer (Environ. Model. Softw., 2012)

Using machine learning techniques to predict ammonium concentration in membrane contactors for nitrogen recovery as a valuable resource. - Daniel Aguado; Guillermo Noriega-Hevia; Joaquin Serralta; Aurora Seco (Eng. Appl. Artif. Intell., 2023)