Zobrazeno 1 - 10 of 128 pro vyhledávání: '"Cesar Mello"'
1
Akademický článek
LS-SVM: uma nova ferramenta quimiométrica para regressão multivariada. Comparação de modelos de regressão LS-SVM e PLS na quantificação de adulterantes em leite em pó empregando NIR LS-SVM: a new chemometric tool for multivariate regression. Comparison of LS-SVM and pls regression for determination of common adulterants in powdered milk by nir spectroscopy
Autor: Marco F. Ferrão, Cesar Mello, Alessandra Borin, Danilo A. Maretto, Ronei J. Poppi
Publikováno v: Química Nova, Vol 30, Iss 4, Pp 852-859 (2007)
Least-squares support vector machines (LS-SVM) were used as an alternative multivariate calibration method for the simultaneous quantification of some common adulterants found in powdered milk samples, using near-infrared spectroscopy. Excellent mode
Externí odkaz: https://doaj.org/article/0d300a3ee5724126a0f22e4413ea4f17
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2
Akademický článek
Óxido misto de ítrio-alumínio dopado com Eu(III) Eu(III)-doped aluminium yttrium oxide
Autor: Eduardo J. Nassar, Lilian R. Avila, Paula F. S. Pereira, Omar J. de Lima, Lucas A. Rocha, Cesar Mello, Katia J. Ciuffi, Luis D. Carlos
Publikováno v: Química Nova, Vol 28, Iss 2, Pp 238-243 (2005)
In this work, we report the synthesis and the photoluminescence features of Eu(III)-doped yttrium-aluminium oxide obtained by non-hydrolytic sol-gel routes. After heating the powders above 600 ºC the XRD patterns show the presence of the Y4Al2O9 (YA
Externí odkaz: https://doaj.org/article/c8dd036ab61e42b5af9632e7ce135be4
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3
Akademický článek
Redes neurais e suas aplicações em calibração multivariada Neural networks and its applications in multivariate calibration
Autor: Eduardo O. de Cerqueira, João C. de Andrade, Ronei J. Poppi, Cesar Mello
Publikováno v: Química Nova, Vol 24, Iss 6, Pp 864-873 (2001)
Neural Networks are a set of mathematical methods and computer programs designed to simulate the information process and the knowledge acquisition of the human brain. In last years its application in chemistry is increasing significantly, due the spe
Externí odkaz: https://doaj.org/article/2358e4875e5e47188b80367256e0935a
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4
Akademický článek
Utilização de filtro de transformada de fourier para a minimização de ruídos em sinais analíticos Utilization of fourier transform filter for noise minimization in analytical signals
Autor: Eduardo O. Cerqueira, Ronei J. Poppi, Lauro T. Kubota, Cesar Mello
Publikováno v: Química Nova, Vol 23, Iss 5, Pp 690-698 (2000)
Instrumental data always present some noise. The analytical data information and instrumental noise generally has different frequencies. Thus is possible to remove the noise using a digital filter based on Fourier transform and inverse Fourier transf
Externí odkaz: https://doaj.org/article/064b31c564b64119bfe3e573f7b14ed2
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5
Akademický článek
Adjacent Inputs With Different Labels and Hardness in Supervised Learning
Autor: Sebastian A. Grillo, Julio Cesar Mello Roman, Jorge Daniel Mello-Roman, Jose Luis Vazquez Noguera, Miguel Garcia-Torres, Federico Divina, Pedro Esteban Gardel Sotomayor
Publikováno v: IEEE Access, Vol 9, Pp 162487-162498 (2021)
An important aspect of the design of effective machine learning algorithms is the complexity analysis of classification problems. In this paper, we propose a study aimed at determining the relation between the number of adjacent inputs with different
Externí odkaz: https://doaj.org/article/a381b409052e45c99e0c6fa5c96bb645
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7
A Modified Algorithm for Training and Optimize RBF Neural Networks Applied to Sensor Measurements Validation
Autor: Ruben Barros Godoy, Hebert C. Goncalves Teixeira, Marco Aurelio Duarte Alves, João Onofre Pereira Pinto, Luigi Galotto, Marcio Luiz Magri Kimpara, Raymundo Cordero Garcia, Mario Cesar Mello Massa de Campos
Publikováno v: IEEE Sensors Journal. 21:18990-18999
This paper presents the use of a radial basis function artificial neural network to estimate sensor readings exploring the analytical redundancy via auto-association. However, in order to guarantee optimal performance of the network, the training and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9ec55b47e3ba1396a75655104d77e26
https://doi.org/10.1109/jsen.2021.3087107
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10
Conference
Enhanced medical images through multi-scale mathematical morphology by reconstruction.
Autor: Gaona, Isidro Ramón, Cesar Mello-Román, Julio, Vázquez Noguera, José Luis, Legal-Ayala, Horacio
Publikováno v: CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings; 2023, Issue 18, p1-5, 5p
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