Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations. - S. I. V. Sousa; Fernando Gomes Martins; M. C. M. Alvim-Ferraz; M. C. Pereira (Environ. Model. Softw., 2007)

Selection and validation of parameters in multiple linear and principal component regressions. - José Carlos M. Pires; Fernando Gomes Martins; S. I. V. Sousa; M. C. M. Alvim-Ferraz; M. C. Pereira (Environ. Model. Softw., 2008)

Prediction of Ground-level Ozone Concentrations through Statistical Models. - José Carlos M. Pires; Fernando Gomes Martins; M. C. Pereira; M. C. M. Alvim-Ferraz (IJCCI, 2009)

Prediction of tropospheric ozone concentrations: Application of a methodology based on the Darwin's Theory of Evolution. - José Carlos M. Pires; M. C. M. Alvim-Ferraz; M. C. Pereira; Fernando Gomes Martins (Expert Syst. Appl., 2011)

HW/SW for an intelligent transducer network based on IEEE 1451 standard. - Edson Antonio Batista; L. Gonda; Alexandre C. R. da Silva; Silvano R. Rossi; M. C. Pereira; Aparecido Augusto de Carvalho; C. E. Cugnasca (Comput. Stand. Interfaces, 2012)