Artificial neural networks for density-functional optimizations in fermionic systems CA Custódio, ÉR Filletti, VV França Scientific reports 9 (1), 1886, 2019 | 32 | 2019 |
Chemometrics in analytical chemistry–an overview of applications from 2014 to 2018 MC Santos, PAM Nascimento, WN Guedes, ER Pereira Filho, ÉR Filletti, ... Eclética Química 44 (2), 11-25, 2019 | 24 | 2019 |
Sugarcane stalk content prediction in the presence of a solid impurity using an artificial intelligence method focused on sugar manufacturing WN Guedes, LJ Dos Santos, ÉR Filletti, FMV Pereira Food Analytical Methods 13 (1), 140-144, 2020 | 18 | 2020 |
Predicting of the fibrous filters efficiency for the removal particles from gas stream by artificial neural network ÉR Filletti, JM da Silva, VG Ferreira Advances in Chemical Engineering and Science 5 (3), 317-327, 2015 | 8 | 2015 |
Nonintrusive measurement of interfacial area and volumetric fraction in dispersed two‐phase flows using a neural network to process acoustic signals—A numerical investigation ER Filletti, P Seleghim Jr International Journal for Numerical Methods in Biomedical Engineering 26 (2 …, 2010 | 8 | 2010 |
Artificial intelligence method developed for classifying raw sugarcane in the presence of the solid impurity LJ Dos Santos, ÉR Filletti, FMV Pereira Eclética Química 46 (3), 49-54, 2021 | 5 | 2021 |
ca VVF CA Custódio, ER Filletti Artificial neural networks for density-functional optimizations in fermionic …, 2019 | 5 | 2019 |
Artificial neural networks applied to the classification of hair samples according to pigment and sex using non‐invasive analytical techniques TM Berto, MC Santos, FMV Pereira, ÉR Filletti X‐Ray Spectrometry 49 (6), 632-641, 2020 | 4 | 2020 |
Desenvolvimento de redes neurais artificiais para análise do fluxo de permeado de uma bebida à base de açaí no processo de microfiltração tangencial C Proni, RN Haneda, ÉR Filletti CQD-Revista Eletrônica Paulista de Matemática, 2020 | 3 | 2020 |
Estimating the mechanical competence parameter of the trabecular bone: a neural network approach ÉR Filletti, WL Roque Research on Biomedical Engineering 32, 137-143, 2016 | 3 | 2016 |
Neural models for monitoring the transmembrane flux in the vinasse clarification process by crossflow microfiltration AAB da Silva, JM da Silva, ÉR Filletti CQD-Revista Eletrônica Paulista de Matemática, 2021 | 2 | 2021 |
Estimating bulk density in leguminous grains with different traits using color parameters from digital images combined with artificial neural networks BG Floriam, FMV Pereira, ÉR Filletti Eclética Química 45 (1), 11-17, 2020 | 2 | 2020 |
Assessment of artificial neural networks to predict red colorant production by Talaromyces amestolkiae BD Dos Reis, F de Oliveira, VC Santos-Ebinuma, ÉR Filletti, ... Bioprocess and Biosystems Engineering 46 (1), 147-156, 2023 | 1 | 2023 |
Neural network prediction of the trabecular bone mechanical competence parameter ER Filletti, WL Roque VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná …, 2015 | 1 | 2015 |
Prediction of the Permeate Flux in Crossflow Membrane Filtration Modeled by Artificial Neural Network ÉR Filletti, JM Silva, AA Alves, SR Fontes 22nd International Congress of Mechanical Engineering, November, 3-7, 2013 | 1 | 2013 |
Estudo sobre a utilização de tomografia acústica para a reconstrução de campos internos de temperatura ÉR Filletti Universidade de São Paulo, 2002 | 1 | 2002 |
Prediction of viscosity, density and solids content in inks employed in printing industry production chain combining infrared and neural models C Proni, EH Oshiro, ER Pereira-Filho, ÉR Filletti CQD-Revista Eletrônica Paulista de Matemática, 82-98, 2023 | | 2023 |
FORMAÇÃO CONTINUADA EM UM ESPAÇO MUSEAL: A MATEMÁTICA EM FOCO. S Barrozo, CF Bassetto, C Silveira da Silva, É Regina Filletti, É Capelato, ... Revista Ciência em Extensão 17, 2021 | | 2021 |
NEURAL NETWORK MODEL FOR PREDICTION OF THE PERMEATE FLUX OF MACROMOLECULAR SOLUTIONS WITH GUAR AND XANTHAN GUMS IN CROSSFLOW MICROFILTRATION PROCESSING ER FILLETTI, JM SILVA Blucher Chemical Engineering Proceedings 1 (2), 16390-16397, 2015 | | 2015 |
Desenvolvimento de modelos neurais para estimar o coeficiente de captura de partículas em aerossóis. JM Filletti, E.R., Silva Conferência Brasileira de Dinâmica, Controle e Aplicações , 2011., p.575-578, 2011 | | 2011 |