Marianne Silva

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Data Compression

Battery Management

Top Venues

MetroAutomotive

MetroInd4.0&IoT

Publications

Mariana Azevedo, Matheus Andrade, Morsinaldo Medeiros, Thaís Medeiros, Marianne Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari
Optimizing Vehicle IoT Systems: SUMO-Digital Twin Performance Analysis. MetroInd4.0 & IoT (2024)
Morsinaldo Medeiros, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva
A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing. EAIS (2024)
Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, Carlos M. D. Viegas, Marianne Silva, Ivanovitch Silva, Daniel G. Costa
A Framework to Support Collection, Processing and Analysis of Smart Vehicles Data. WF-IoT (2023)
Thaís Medeiros, Miguel Amaral, Matheus Targino, Marianne Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari
TinyML Custom AI Algorithms for Low-Power IoT Data Compression: A Bridge Monitoring Case Study. MetroInd4.0&IoT (2023)
Thommas K. S. Flores, Matheus Andrade, Morsinaldo Medeiros, Miguel Amaral, Marianne Silva, Ivanovitch Silva
Leveraging IoT and TinyML for Smart Battery Management in Electric Bicycles. SIoT (2023)
Morsinaldo Medeiros, Mariana Azevedo, Miguel Amaral, Carlos M. D. Viegas, Marianne Silva, Ivanovitch Silva, Daniel G. Costa
A Framework for Efficient Communication in IoT Applications in the Automotive Industry with OBD-II Edge. SIoT (2023)
Marianne Silva, Thaís Medeiros, Mariana Azevedo, Morsinaldo Medeiros, Mikael Themoteo, Tatiane Gois, Ivanovitch Silva, Daniel G. Costa
An Adaptive TinyML Unsupervised Online Learning Algorithm for Driver Behavior Analysis. MetroAutomotive (2023)
Matheus Andrade, Esther Wanderley, Mariana Azevedo, Thaís Medeiros, Marianne Silva, Ivanovitch Silva, Daniel G. Costa
A Voice-Assisted Approach for Vehicular Data Querying from Automotive IoT-Based Databases. SIoT (2023)
Thommas K. S. Flores, Marianne Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, Ivanovitch Silva, Max Mauro Dias Santos, Daniel G. Costa
TinyML for Safe Driving: The Use of Embedded Machine Learning for Detecting Driver Distraction. MetroAutomotive (2023)
Marianne Silva, Gabriel Signoretti, Thommas K. S. Flores, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari
A data-stream TinyML compression algorithm for vehicular applications: a case study. MetroInd4.0& IoT (2022)
Thommas K. S. Flores, Marianne Silva, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari, Stefano Rinaldi
A TinyML Soft-Sensor for the Internet of Intelligent Vehicles. MetroAutomotive (2022)
Marianne Silva, Thommas K. S. Flores, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Daniel G. Costa
An Online Unsupervised Machine Learning Approach to Detect Driving Related Events. IECON (2022)