In-process thermal damage detection in grinding with monitoring via Internet. - Fábio Romano Lofrano Dotto; Paulo Roberto de Aguiar; Eduardo C. Bianchi (ICARCV, 2002)

In-process grinding monitoring by acoustic emission. - Paulo Roberto de Aguiar; Paulo José Amaral Serni; Eduardo C. Bianchi; Fábio Romano Lofrano Dotto (ICASSP (5), 2004)

Neural Network Applied to Detect Burn in Grinding. - Paulo Roberto de Aguiar; Eduardo C. Bianchi; Fábio Romano Lofrano Dotto; Rogério Andrade Flauzino; Danilo Hernane Spatti (Artificial Intelligence and Applications, 2005)

Neural network approach for surface roughness prediction in surface grinding. - Paulo Roberto de Aguiar; C. E. D. Cruz; W. C. F. Paula; Eduardo C. Bianchi; Rogério Thomazella; Fábio Romano Lofrano Dotto (Artificial Intelligence and Applications, 2007)

Semi-supervised learning with connectivity-driven convolutional neural networks. - Willian Paraguassu Amorim; Gustavo Henrique Rosa; Rogério Thomazella; José Eduardo Cogo Castanho; Fábio Romano Lofrano Dotto; Oswaldo Pons Rodrigues Júnior; Aparecido Nilceu Marana; João Paulo Papa (Pattern Recognit. Lett., 2019)

Técnica de diagnóstico da integridade superficial do rebolo durante o processo de dressagem baseada em imagens acústicas obtidas por diafragma piezelétrico - Fábio Romano Lofrano Dotto (2019)

In-Dressing Acoustic Map by Low-Cost Piezoelectric Transducer. - Fábio Romano Lofrano Dotto; Paulo Roberto de Aguiar; Felipe A. Alexandre; Wenderson N. Lopes; Eduardo C. Bianchi (IEEE Trans. Ind. Electron., 2020)

Development of a Portable Corona Current Measuring Device for High Voltage Detection in HVDC Systems. - Fábio Romano Lofrano Dotto; Pedro O. Conceição Junior; André Luiz Andreoli; Reinaldo G. De Oliveira Junior; Benedito R. Dos Santos (IEEE Trans. Ind. Electron., 2023)

New Signal Processing-Based Methodology for Optimal Feature Selection of Corona Discharges Measurement in HVDC Systems. - Gabriel Augusto David; Pedro O. Conceição Junior; Fábio Romano Lofrano Dotto; Benedito R. Dos Santos (IEEE Trans. Instrum. Meas., 2023)