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ORCIDJosé Luis Conradi Hoffmann
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2020 – today
- 2024
[j6]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich:
Transparent integration of autonomous vehicles simulation tools with a data-centric middleware. Des. Autom. Embed. Syst. 28(1): 45-66 (2024)- [c13]José Luís Conradi Hoffmann, Mateus Martínez De Lucena, Gustavo Medeiros de Araújo, Antônio Augusto Fröhlich:
An Early Fault Detection Framework for Wind Turbines using Vibration Signals. CASE 2024: 3207-3212 - 2023
- [j5]Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
Monitoring the performance of multicore embedded systems without disrupting its timing requirements. Des. Autom. Embed. Syst. 27(4): 217-239 (2023) - [j4]Antônio Augusto Fröhlich
, Leonardo Passig Horstmann, José Luis Conradi Hoffmann:
A Secure IIoT Gateway Architecture based on Trusted Execution Environments. J. Netw. Syst. Manag. 31(2): 32 (2023) - [c12]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich:
Using Formal Methods for On-The-Fly Time Series Verification. LADC 2023: 21-29 - [c11]José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
Data-Centric Design for Formal Verification of Vehicle Monitoring. SBESC 2023: 1-6 - [c10]Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Roberto Milton Scheffel, Antônio Augusto Fröhlich:
Handling WSN Communication Faults at the Edge with Confidence Attribution for Data Imputation. WF-IoT 2023: 1-6 - 2022
- [j3]José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems. IEEE Trans. Computers 71(2): 493-505 (2022) - [c9]José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
Embedding Anomaly Detection Autoencoders for Wind Turbines. ETFA 2022: 1-8 - [c8]José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
SmartData Safety: Online Safety Models for Data-Driven Cyber-Physical Systems. IECON 2022: 1-6 - [c7]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich:
A PUF-based Secure Bootstrap Protocol for Cyber-Physical System Networks. INDIN 2022: 202-207 - [c6]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Matheus Wagner, Felipe Vieira, Mateus Martínez De Lucena, Antônio Augusto Fröhlich:
Using Formal Methods to Specify Data-Driven Cyber-Physical Systems. ISIE 2022: 643-648 - [c5]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich:
Integrating Autonomous Vehicle Simulation Tools using SmartData. SBESC 2022: 1-8 - [d1]José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database. IEEE DataPort, 2022
- 2021
- [j2]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Mateus Martínez De Lucena, Gustavo Medeiros de Araújo, Antônio Augusto Fröhlich, Marcos Hisashi Napoli Nishioka:
Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals. Appl. Artif. Intell. 35(12): 893-913 (2021) - [c4]Leonardo Passig Horstmann, José Luís Conradi Hoffmann, Antônio Augusto Fröhlich:
Performance Monitoring Features in EPOS. SBESC 2021: 1-8 - 2020
- [j1]Cesar Huegel Richa, Mateus Martínez De Lucena, Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
Modeling Time Requirements of CPS in Wireless Networks. Sensors 20(7): 1818 (2020) - [c3]Roberto Milton Scheffel, José Luís Conradi Hoffmann, Leonardo Passig Horstmann, Gustavo Medeiros de Araújo, Antônio Augusto Fröhlich, Tiago Kaoru Matsuo, Vitor Pohlenz, Marcos Hisashi Napoli Nishioka:
Data Confidence Applied to Wind Turbine Power Curves. SBESC 2020: 1-8
2010 – 2019
- 2019
- [c2]Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich:
A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning. ETFA 2019: 251-258 - [c1]José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich:
Anomaly Detection in Multicore Embedded Systems. SBESC 2019: 1-8
Coauthor Index
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