José Luis Conradi Hoffmann

Orcid: 0000-0002-3108-7650

According to our database1, José Luis Conradi Hoffmann authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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On csauthors.net:

Bibliography

2024
Transparent integration of autonomous vehicles simulation tools with a data-centric middleware.
Des. Autom. Embed. Syst., March, 2024

An Early Fault Detection Framework for Wind Turbines using Vibration Signals.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Monitoring the performance of multicore embedded systems without disrupting its timing requirements.
Des. Autom. Embed. Syst., December, 2023

A Secure IIoT Gateway Architecture based on Trusted Execution Environments.
J. Netw. Syst. Manag., April, 2023

Handling WSN Communication Faults at the Edge with Confidence Attribution for Data Imputation.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Data-Centric Design for Formal Verification of Vehicle Monitoring.
Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering, 2023

Using Formal Methods for On-The-Fly Time Series Verification.
Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

2022
Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database.
Dataset, May, 2022

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems.
IEEE Trans. Computers, 2022

Integrating Autonomous Vehicle Simulation Tools using SmartData.
Proceedings of the XII Brazilian Symposium on Computing Systems Engineering, 2022

Using Formal Methods to Specify Data-Driven Cyber-Physical Systems.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

A PUF-based Secure Bootstrap Protocol for Cyber-Physical System Networks.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

SmartData Safety: Online Safety Models for Data-Driven Cyber-Physical Systems.
Proceedings of the IECON 2022, 2022

Embedding Anomaly Detection Autoencoders for Wind Turbines.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals.
Appl. Artif. Intell., 2021

Performance Monitoring Features in EPOS.
Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, 2021

2020
Modeling Time Requirements of CPS in Wireless Networks.
Sensors, 2020

Data Confidence Applied to Wind Turbine Power Curves.
Proceedings of the X Brazilian Symposium on Computing Systems Engineering, 2020

2019
Anomaly Detection in Multicore Embedded Systems.
Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, 2019

A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019


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