Prediction of viscosity, density and solids content in inks employed in printing industry production chain combining infrared and neural models. C.Q.D. - Revista Eletrônica Paulista de Matemática, Bauru, v. 23, n. 1, p. 82–98, 2023. DOI: 10.21167/ cqdv23n12023082098. Disponível em: https://revistas.bauru.unesp.br/index.php/revistacqd/article/view/359. Acesso em: 6 nov. 2025.