Physics-Informed Neural Networks for Monitoring Dynamic Systems: Wind Turbine Study Case. - Josafat Leal Filho; Matheus Wagner; Antônio Augusto Fröhlich (SBESC, 2023)

Continual Learning in Recurrent Neural Networks for the Internet of Things: A Stochastic Approach. - Josafat Ribeiro Leal Filho; Alexander Kocian; Antônio Augusto Fröhlich; Stefano Chessa (ISCC, 2024)

Comparison of Neural Network Training Approaches That Preserve Physical Properties of Cyber-Physical System. - Josafat Leal Filho; Stephan Paul 003; Antônio Augusto Fröhlich (SBESC, 2024)

Combining PCA and DCT for Improved Passive Seismic Data Compression. - Matheus Wagner; Mateus Martínez De Lucena; Josafat Leal Filho; Antônio Augusto Fröhlich (IEEE Access, 2024)

Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT. - Mateus Martínez De Lucena; Josafat Ribeiro Leal Filho; Matheus Wagner; Antônio Augusto Fröhlich (Algorithms, 2024)

Physics-informed neural networks for monitoring dynamic systems: ring bearing system study case. - Josafat Leal Filho; Matheus Wagner; Antônio Augusto Fröhlich (Des. Autom. Embed. Syst., 2025)