Jos�� Luis Conradi Hoffmann's Publications ()

  1. Antônio Augusto Fröhlich and Leonardo Passig Horstmann and José Luis Conradi Hoffmann, A Secure IIoT Gateway Architecture based on Trusted Execution Environments, In: Journal of Network and Systems Management, 31(32), 2023. DOI: https://doi.org/10.1007/s10922-023-09723-6.
  2. José Luis Conradi Hoffmann and Leonardo Passig Horstmann and Matheus Wagner and Felipe Vieira and Mateus Martínez de Lucena and Antônio Augusto Fröhlich, Using Formal Methods to Specify Data-Driven Cyber-Physical Systems, In: Proceedings of the 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), pages 1-8, Anchorage, AK, USA, June 2022. DOI: 10.1109/ISIE51582.2022.9831686.
  3. José Luis Conradi Hoffmann and Antônio Augusto Fröhlich, Embedding Anomaly Detection Autoencoders for Wind Turbines, In: Proceedings of the IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, pages 1-8, Stuttgart, Germany, 2022. DOI: 10.1109/ETFA52439.2022.9921541.
  4. José Luis Conradi Hoffmann, Leonardo Passig Horstmann, and Antônio Augusto Fröhlich, Integrating Autonomous Vehicle Simulation Tools using SmartData, In: Proceedings of the 2022 XII Brazilian Symposium on Computing Systems Engineering (SBESC), pages 1-8, Fortaleza/CE, Brazil, 2022. DOI: 10.1109/SBESC56799.2022.9964834.
  5. José Luis Conradi Hoffmann, Leonardo Passig Horstmann, and Antônio Augusto Fröhlich, A PUF-based Secure Bootstrap Protocol for Cyber-Physical System Networks, In: Proceedings of the 2022 IEEE 20th International Conference on Industrial Informatics (INDIN), pages 1-8, Perth, Australia, 2022. DOI: 10.1109/INDIN51773.2022.9976134.
  6. José Luis Conradi Hoffmann and Antônio Augusto Fröhlich, SmartData Safety: Online Safety Models for Data-Driven Cyber-Physical Systems, In: Proceedings of the IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, pages 1-8, Brussels, Belgium, 2022. DOI: 10.1109/IECON49645.2022.9969074.
  7. José Luis Conradi Hoffmann and Antônio Augusto Fröhlich, Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems, In: IEEE Transactions on Computers, 72(2):493-505, 2022. DOI: 10.1109/TC.2021.3056070.
  8. José Luís Conradi Hoffmann, Leonardo Passig Horstmann, Nicolas Goeldner, and Antônio Augusto Fröhlich, Comparison of Feature Selection Algorithms for Predicting Execution Time in Embedded Systems, In: International Journal of Aritificial Intelligence, 20(2), 2022.
  9. Leonardo Passig Horstmann, José Luis Conradi Hoffmann, and Antônio Augusto Fröhlich, Performance Monitoring Features in EPOS, In: Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, pages 1-8, Online, November 2021. DOI: 10.1109/SBESC53686.2021.9628370.
  10. José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Mateus Martínez Lucena, Gustavo Medeiros de Araujo, Antônio Augusto Fröhlich, and Marcos Hisashi Napoli Nishioka, Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals, In: Applied Artificial Intelligence:9, 2021. DOI: 10.1080/08839514.2021.1966879.
  11. Roberto Milton Scheffel, Jose Luis Conradi Hoffmann, Leonardo Passig Horstmann, Gustavo Medeiros de Araujo, Antonio Augusto Fröhlich, Tiago Kaoru Matsuo, Vitor Pohlenz, Marcos Hisashi Napoli Nishioka, Data Confidence Applied to Wind Turbine Power Curves, In: Proceedings of the X Brazilian Symposium on Computing Systems Engineering, pages 1-8, Online, November 2020. DOI: 10.1109/SBESC51047.2020.9277861.
  12. José Luis Conradi Hoffmann, Optimizing Energy Consumption of Multicore Real-Time Embedded Systems using Machine Learning, Florianópolis: Federal University of Santa Catarina, 128 pages, 2020 (M.Sc. Thesis).
  13. César Huegel Richa, Mateus M. de Lucena, Leonardo Passig Horstmann, José Luis Conradi Hoffmann and Antônio Augusto Fröhlich, Modeling Time Requirements of CPS in Wireless Networks, In: Sensors, 20(7):1818-16, 2020. DOI: 10.3390/s20071818.
  14. José Luis Hoffmann, Leonardo Passig Horstmann and Antônio Augusto Fröhlich, Anomaly Detection in Multicore Embedded Systems, In: Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, pages 1-8, Natal, Brazil, November 2019. DOI: 10.1109/SBESC49506.2019.9046093.
  15. Leonardo Passig Horstmann, José Luis Conradi Hoffmann and Antônio Augusto Fröhlich, A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning, In: Proceedings of the 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), pages 1-8, Zaragoza, Spain, September 2019. DOI: 10.1109/ETFA.2019.8869545.

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