Miguel Amaral

According to our database, Miguel Amaral authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Autoencoders for Embedded Sensor Data Compression: A Case Study on Vehicular IoT Systems.

Matheus Andrade, Miguel Amaral, Morsinaldo Medeiros, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandão, Paolo Ferrari

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

2024

TAC: A Python package for IoT-focused Tiny Anomaly Compression.

Miguel Amaral, Gabriel Signoretti, Marianne Batista Diniz Da Silva, Ivanovitch Silva

SoftwareX, 2024

TinyML Implementation and Optimization for Fuel Type Classification on OBD-II Edge Device.

Miguel Amaral, Morsinaldo Medeiros, Matheus Andrade, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva

Proceedings of the Symposium on Internet of Things, 2024

The importance of collaboration in the knowledge-intensive business services: The efficiency analysis of the industry using a meta-frontier approach.

Jihoon Shin, Hongbum Kim, Miguel Amaral

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

A Framework for Efficient Communication in IoT Applications in the Automotive Industry with OBD-II Edge.

Morsinaldo Medeiros, Mariana Azevedo, Miguel Amaral, Carlos M. D. Viegas, Marianne Silva, Ivanovitch Silva, Daniel G. Costa

Proceedings of the Symposium on Internet of Things, 2023

Leveraging IoT and TinyML for Smart Battery Management in Electric Bicycles.

Thommas K. S. Flores, Matheus Andrade, Morsinaldo Medeiros, Miguel Amaral, Marianne Silva, Ivanovitch Silva

Proceedings of the Symposium on Internet of Things, 2023

TinyML Custom AI Algorithms for Low-Power IoT Data Compression: A Bridge Monitoring Case Study.

Thaís Medeiros, Miguel Amaral, Matheus Targino, Marianne Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari

Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2023

2020

FaultSee: Reproducible Fault Injection in Distributed Systems.

Miguel Amaral, Miguel L. Pardal, Hugues Mercier, Miguel Matos

Proceedings of the 16th European Dependable Computing Conference, 2020