Arnaldo Rabello de Aguiar Vallim Filho

Prediction of Motor Failure Time Using An Artificial Neural Network

Gustavo Scalabrini Sampaio, Arnaldo Rabello de Aguiar Vallim Filho, Leilton Santos da Silva et al. · Sensors · 2019 · 108 citations · Full text

Engineering, Computer Science, Industrial Engineering +17

A Machine Learning Modeling Framework for Predictive Maintenance Based on Equipment Load Cycle: An Application in a Real World Case

Arnaldo Rabello de Aguiar Vallim Filho, Daniel Farina Moraes, Marco Vinicius Bhering de Aguiar Vallim et al. · Energies · 2022 · 34 citations · Full text

Engineering, Computer Science, Industrial Engineering +14

Big data analytics-enabled dynamic capabilities for corporate performance mediated through innovation ambidexterity: Findings from machine learning with cross-country analysis

Adilson Carlos Yoshikuni, Rajeev Dwivedi, Arnaldo Rabello de Aguiar Vallim Filho et al. · Technological Forecasting and Social Change · 2024 · 20 citations

Management, Innovation Management, Strategic Management +15

A Framework for Big Data Analytical Process and Mapping—BAProM: Description of an Application in an Industrial Environment

Giovanni Gravito de Carvalho Chrysostomo, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva et al. · Energies · 2020 · 11 citations · Full text

Business, Industrial Engineering, Information Systems +17