Journals

  1. Enzo Nicolás Spotorno, Josafat R. Leal Filho and Antônio Augusto Fröhlich, Linking Physical Fidelity to Downstream Performance in Physics-Informed Fault Diagnosis, In: IEEE Access, 14(1):23740-23775, 2026. DOI: 10.1109/ACCESS.2026.3663988.
  2. Josafat Leal Filho, Matheus Wagner and Antônio Augusto Fröhlich, Physics-informed neural networks for monitoring dynamic systems: ring bearing system study case, In: Design Automation for Embedded Systems, 29(2):3, 2025. DOI: 10.1007/s10617-025-09293-7.

    3. Conferences

  3. 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, In: Proceedings of the 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), pages 1-8, Singapore, December 2025 (to appear). DOI: 10.1109/MCSoC67473.2025.00119.
  4. Josafat Leal Filho, Pablo Machado Barros , Mateus Lucena, André Bulcã, Matheus Wagner , Alexandre Augusto Cardoso da Silva, Antônio Augusto Fröhlich, Ubiratan Jose Furtado, Seismic Data Compression with OBNZip: Implications for 4D Seismic Analysis, In: Proceedings of the 19th Congress of the Brazilian Geophysical Society (CISBGF 2025), pages 1-4, Rio de Janeiro, Brazil, November 2025. DOI: 10.22564/19cisbgf2025.505.
  5. Enzo Nicolás Spotorno, Josafat Leal Filho and Antônio Augusto Fröhlich, Physics-Informed Residual-Based Anomaly Detection and Open-Set Recognition System: A Case Study on Ring Bearings, In: Proceedings of the IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society, pages 1-6, Madrid, Spain, October 2025. DOI: 10.1109/IECON58223.2025.11221472.
  6. Josafat Leal Filho, Alexander Kocian, Antônio Augusto Fröhlich, Stefano Chessa, A Dynamic Bayesian Deep Learning Approach to Structural Health Monitoring, In: Proceedings of the 2025 30th IEEE Symposium on Computers and Communications (ISCC), pages 1-6, Bologna, Italy, July 2025. DOI: 10.1109/ISCC65549.2025.11326494.
  7. Josafat Leal Filho, Antônio Augusto Fröhlich, Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Jozimar Custódio Xavier, Predicting Transient Overloads Related to ADAS in Time-sensitive Vehicular Networks, In: Proceedings of the 2025 30th IEEE Symposium on Computers and Communications (ISCC), pages 1-6, Bologna, Italy, July 2025. DOI: 10.1109/ISCC65549.2025.11326440.
  8. Josafat Leal Filho and Stephan Paul and Antônio Augusto Fröhlich, Comparison of Neural Network Training Approaches That Preserve Physical Properties of Cyber-Physical System, In: Proceedings of the 2024 XIV Brazilian Symposium on Computing Systems Engineering (SBESC), pages 1-6, Recife, Brazil, November 2024. DOI: 10.1109/SBESC65055.2024.10771819.
  9. Josafat Leal Filho, Alexander Kocian, Antônio Augusto Fröhlich and Stefano Chessa, Continual Learning in Recurrent Neural Networks for the Internet of Things: A Stochastic Approach, In: Proceedings of the 2024 IEEE Symposium on Computers and Communications (ISCC), pages 1-6, Paris, France, June 2024. DOI: 10.1109/ISCC61673.2024.10733672.
  10. Josafat Leal Filho, Matheus Wagner, and Antônio Augusto Frohlich, Physics-Informed Neural Networks for Monitoring Dynamic Systems: Wind Turbine Study Case, In: Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering (SBESC), pages 1-6, Porto Alegre, Brazil, November 2023. DOI: 10.1109/SBESC60926.2023.10324156.

    11. Books

    Book Chapters

    Technical Reports

    Theses

    Manuals

    Selected Presentations

Copyright Notice

It is understood that the following electronic versions of the papers are non-commercial distributions available to ensure the timely dissemination of their content. Copyrights for each published paper are held by the respective publishing organization.