Marianne Silva

According to our database, Marianne Silva authored at least 9 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

A Voice-Assisted Approach for Vehicular Data Querying from Automotive IoT-Based Databases.

Matheus Andrade, Esther Wanderley, Mariana Azevedo, Thaís Medeiros, Marianne Silva, Ivanovitch Silva, Daniel G. Costa

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

An Adaptive TinyML Unsupervised Online Learning Algorithm for Driver Behavior Analysis.

Marianne Silva, Thaís Medeiros, Mariana Azevedo, Morsinaldo Medeiros, Mikael Themoteo, Tatiane Gois, Ivanovitch Silva, Daniel G. Costa

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2023

TinyML for Safe Driving: The Use of Embedded Machine Learning for Detecting Driver Distraction.

Thommas K. S. Flores, Marianne Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, Ivanovitch Silva, Max Mauro Dias Santos, Daniel G. Costa

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2023

2022

A data-stream TinyML compression algorithm for vehicular applications: a case study.

Marianne Silva, Gabriel Signoretti, Thommas K. S. Flores, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022

A TinyML Soft-Sensor for the Internet of Intelligent Vehicles.

Thommas K. S. Flores, Marianne Silva, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari, Stefano Rinaldi

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2022

An Online Unsupervised Machine Learning Approach to Detect Driving Related Events.

Marianne Silva, Thommas K. S. Flores, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Daniel G. Costa

Proceedings of the IECON 2022, 2022