Mariana Azevedo

According to our database, Mariana Azevedo authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

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

Graph Neural Network Based on Molecular and Pharmacophoric Features for Drug Design Applications.

Mariana Azevedo, Luc Brun, Pierre Héroux, Jean Luc Lamotte, Ronan Bureau, Alban Lepailleur

Proceedings of the Graph-Based Representations in Pattern Recognition, 2025

Optimizing the Logistics Operations of Distribution Network Operators from a Multinational Electric Utility Company.

Diego Dantas Almeida, Mariana Azevedo, Victor Vieira, Nelson Ion de Oliveira, Anna Giselle Câmara Dantas Ribeiro Rodrigues, Leonardo C. T. Bezerra, Lucas Nunes, Thaís Alves de Mendonça, Rodrigo Manfredini

Proceedings of the Applications of Evolutionary Computation - 28th European Conference, 2025

2024

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

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

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

Proceedings of the 9th IEEE World Forum on Internet of Things, 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

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

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