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ORCIDJosafat Leal Filho
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2020 – today
- 2026
[j4]Enzo Nicolás Spotorno
, Josafat Ribeiro Leal Filho, Antônio Augusto Fröhlich:
Linking Physical Fidelity to Downstream Performance in Physics-Informed Fault Diagnosis. IEEE Access 14: 23740-23775 (2026)- [i4]Josafat Ribeiro Leal Filho, Antônio Augusto Fröhlich:
Verifying Physics-Informed Neural Network Fidelity using Classical Fisher Information from Differentiable Dynamical System. CoRR abs/2601.11638 (2026) - [i3]Enzo Nicolás Spotorno Bieger, Josafat Ribeiro Leal Filho, Antônio Augusto Fröhlich:
Supervised Metric Regularization Through Alternating Optimization for Multi-Regime Physics-Informed Neural Networks. CoRR abs/2602.09980 (2026) - [i2]Enzo Nicolás Spotorno Bieger, Josafat Leal Filho, Antônio Augusto Fröhlich:
Empirical Stability Analysis of Kolmogorov-Arnold Networks in Hard-Constrained Recurrent Physics-Informed Discovery. CoRR abs/2602.09988 (2026) - 2025
- [j3]Mateus Martínez De Lucena, Josafat Ribeiro Leal Filho, Matheus Wagner, Antônio Augusto Fröhlich:
Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT. Algorithms 18(1): 33 (2025) - [j2]Josafat Leal Filho, Matheus Wagner, Antônio Augusto Fröhlich:
Physics-informed neural networks for monitoring dynamic systems: ring bearing system study case. Des. Autom. Embed. Syst. 29(2): 3 (2025) - [c7]Enzo Nicolás Spotorno, Josafat Leal Filho, Antônio Augusto Fröhlich:
Physics-Informed Residual-Based Anomaly Detection and Open-Set Recognition System: A Case Study on Ring Bearings. IECON 2025: 1-6 - [c6]Josafat Leal Filho, Antônio Augusto Fröhlich, Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Jozimar C. Xavier:
Predicting Transient Overloads Related to ADAS in Time-sensitive Vehicular Networks. ISCC 2025: 1-6 - [c5]Josafat Ribeiro Leal Filho, Alexander Kocian, Antônio Augusto Fröhlich, Stefano Chessa:
A Dynamic Bayesian Deep Learning Approach to Structural Health Monitoring. ISCC 2025: 1-6 - [c4]Leonardo Passig Horstmann, Antônio Augusto Fröhlich, Josafat Leal Filho, José Luis Conradi Hoffmann:
Adaptive QoS to Handle Transient Overloads in Time-Sensitive Vehicular Networks Caused by ADAS. MCSoC 2025: 740-747 - [i1]Enzo Nicolás Spotorno, Josafat Leal Filho, Antônio Augusto Fröhlich:
Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems. CoRR abs/2511.23307 (2025) - 2024
- [j1]Matheus Wagner, Mateus Martínez De Lucena, Josafat Leal Filho, Antônio Augusto Fröhlich:
Combining PCA and DCT for Improved Passive Seismic Data Compression. IEEE Access 12: 170648-170660 (2024) - [c3]Josafat Ribeiro Leal Filho, Alexander Kocian, Antônio Augusto Fröhlich, Stefano Chessa:
Continual Learning in Recurrent Neural Networks for the Internet of Things: A Stochastic Approach. ISCC 2024: 1-6 - [c2]Josafat Leal Filho, Stephan Paul, Antônio Augusto Fröhlich:
Comparison of Neural Network Training Approaches That Preserve Physical Properties of Cyber-Physical System. SBESC 2024: 1-6 - 2023
- [c1]Josafat Leal Filho, Matheus Wagner, Antônio Augusto Fröhlich:
Physics-Informed Neural Networks for Monitoring Dynamic Systems: Wind Turbine Study Case. SBESC 2023: 1-6
Coauthor Index
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