Morsinaldo Medeiros

According to our database, Morsinaldo Medeiros authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

Evolving online clustering for real-time driver behavior analysis in IoT-enabled vehicles.

Morsinaldo Medeiros, Marianne Silva, Ivanovitch Silva

Evol. Syst., December, 2025

TEDA-forecasting: an unsupervised tinyML incremental learning approach for outlier processing and forecasting.

Pedro Andrade, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

Computing, July, 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

Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering.

Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

IEEE Access, 2025

MST and MPT: Lightweight Incremental Algorithms for Multivariate Anomaly Detection and Correction on TinyML Devices.

Morsinaldo Medeiros, Thaís 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

Tailoring RAG Strategies for Industrial Protocols: A Comparative Study on PROFIBUS Document Retrieval using Gemma and GPT Models.

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

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

Kolmogorov-Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles.

Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

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

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

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

A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing.

Morsinaldo Medeiros, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 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

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

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