M
Messias Borges Silva
Researcher at University of São Paulo
Publications - 152
Citations - 1673
Messias Borges Silva is an academic researcher from University of São Paulo. The author has contributed to research in topics: Taguchi methods & Photobioreactor. The author has an hindex of 17, co-authored 145 publications receiving 1388 citations. Previous affiliations of Messias Borges Silva include Federal University of Pernambuco & Universidade de Taubaté.
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Electrodeposition of copper on titanium wires: Taguchi experimental design approach
Jorge Luiz Rosa,Alain Robin,Messias Borges Silva,Messias Borges Silva,C.A. Baldan,M.P. Peres +5 more
TL;DR: In this article, the influence of titanium surface preparation, cathodic current density, copper sulphate and sulphuric acid concentrations, electrical charge density and stirring of the solution on the adhesion of the electrodeposits was studied using the Taguchi statistical method.
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The realm of cellulases in biorefinery development
TL;DR: This paper aims to explore and review the important findings in cellulase biotechnology and the forward path for new cutting edge opportunities in the success of biorefineries.
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Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi's orthogonal arrays
Fabricio J. Pontes,Anderson Paulo de Paiva,Pedro Paulo Balestrassi,João Roberto Ferreira,Messias Borges Silva +4 more
TL;DR: The work concludes that the design of experiments (DOE) methodology constitutes a better approach to the designs of RBF networks for roughness prediction than the most common trial and error approach.
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Resistance of Santa Ines and crossbred ewes to naturally acquired gastrointestinal nematode infections
Alessandro Francisco Talamini do Amarante,Ivanete Susin,R. A. Rocha,Messias Borges Silva,Clayton Quirino Mendes,Alexandre Vaz Pires +5 more
TL;DR: In conclusion, crossbreeding Santa Ines sheep with any of the breeds evaluated can result in a production increase and the maintenance of a satisfactory degree of infection resistance, especially against H. contortus and Trichostrongylus colubriformis, the major nematodes detected in this flock.
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Artificial neural networks for machining processes surface roughness modeling
Fabricio J. Pontes,João Roberto Ferreira,Messias Borges Silva,Anderson Paulo de Paiva,Pedro Paulo Balestrassi +4 more
TL;DR: This work reviews a number of papers on machining processes focused on the use of artificial neural networks for modeling surface roughness, providing a summary and analysis of the findings and identifies trends in the literature and highlights their main differences.