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 (MetroAutomotive, 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 (MetroAutomotive, 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 (MetroInd4.0&IoT, 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 (SIoT, 2023)

A Framework to Support Collection, Processing and Analysis of Smart Vehicles Data. - Mariana Azevedo; Thaís Medeiros; Morsinaldo Medeiros; Carlos M. D. Viegas; Marianne Silva; Ivanovitch Silva; Daniel G. Costa (WF-IoT, 2023)

Optimizing Vehicle IoT Systems: SUMO-Digital Twin Performance Analysis. - Mariana Azevedo; Matheus Andrade; Morsinaldo Medeiros; Thaís Medeiros; Marianne Silva; Ivanovitch Silva; Emiliano Sisinni; Paolo Ferrari (MetroInd4.0 & IoT, 2024)

Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles. - Thommas K. S. Flores; Ivanovitch Silva; Mariana Azevedo; Thaís Medeiros; Morsinaldo Medeiros; Daniel G. Costa; Paolo Ferrari; Emiliano Sisinni (IEEE Micro, 2025)