L. R. Padovese

发表

Falling sheet envelope method for non-destructive testing time-dependent signals

J. A. Pérez-Benitez, L. R. Padovese, 2011, Expert Syst. Appl..

Study of solid contamination in ball bearings through vibration and wear analyses

L. R. Padovese, M. M. Maru, R. S. Castillo, 2007 .

Machine Learning for Identifying an Endengered Brazilian Psittacidae Species

L. R. Padovese, B. T. Padovese, Sao Paulo Brazil Rua Gomes de Medeiros, 2019 .

Feature Selection and Neural Network for analysis of microstructural changes in magnetic materials

J. A. Pérez-Benitez, L. R. Padovese, L. Padovese, 2011, Expert Syst. Appl..

A methodology for analyzing biological choruses from long-term passive acoustic monitoring in natural areas

L. R. Padovese, I. Sánchez-Gendriz, 2017, Ecol. Informatics.

A system for classification of time-series data from industrial non-destructive device

J. A. Pérez-Benitez, L. R. Padovese, L. Padovese, 2013, Eng. Appl. Artif. Intell..

Temporal and spectral patterns of fish choruses in two protected areas in southern Atlantic

L. R. Padovese, I. Sánchez-Gendriz, 2017, Ecol. Informatics.

Anisotropy study of grain oriented steels with Magnetic Barkhausen Noise

L. R. Padovese, M. A. Campos, F. Landgraf, 2011 .

Relation Between Magnetic Barkhausen Noise and Hardness for Jominy Quench Tests in SAE 4140 and 6150 Steels

L. R. Padovese, M. D. de Campos, F. A. Franco, 2012, Journal of nondestructive evaluation.

Comparison Between Different Experimental Set-Ups for Measuring the Magnetic Barkhausen Noise in a Deformed 1050 Steel

L. R. Padovese, M. D. de Campos, M. F. de Campos, 2017, Journal of Nondestructive Evaluation.

Characterization of Residual Stresses and Microstructural by Technique of Magnetic Barkhausen Noise of API 5L X80 Steel Heat Treatment

L. R. Padovese, T. Chuvas, M. Fonseca, 2016 .

Comparison Between Probabilistic and Multilayer Perceptron Neural Networks for Rolling Bearing Fault Classification

L. R. Padovese, L. R. Padovese, 2002 .