Fuzzy Pressure Control System in Water Supply Networks with Series-Parallel Pumps. - Thommas K. S. Flores; Juan Moises Maurício Villanueva; Sebastian Y. C. Catunda; Heber Pimentel Gomes (I2MTC, 2019)

Indirect Feedback Measurement of Flow in a Water Pumping Network Employing Artificial Intelligence. - Thommas Kevin Sales Flores; Juan Moises Maurício Villanueva; Heber Pimentel Gomes; Sebastian Y. C. Catunda (Sensors, 2021)

Adaptive Pressure Control System Based on the Maximum Correntropy Criterion. - Thommas Kevin Sales Flores; Juan Moises Maurício Villanueva; Heber Pimentel Gomes; Sebastian Yuri Cavalcanti Catunda (Sensors, 2021)

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 (IECON, 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 (MetroAutomotive, 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 (MetroInd4.0& IoT, 2022)

A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions. - Pedro Andrade; Ivanovitch Silva; Marianne Batista Diniz Da Silva; Thommas K. S. Flores; Jordão Cassiano; Daniel G. Costa (Sensors, 2022)

Development of a Soft Sensor for Flow Estimation in Water Supply Systems Using Artificial Neural Networks. - Robson Pacífico Guimarães Lima; Juan Moises Maurício Villanueva; Heber Pimentel Gomes; Thommas Kevin Sales Flores (Sensors, 2022)

State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. - Rômulo Navega Vieira; Juan Moises Maurício Villanueva; Thommas Kevin Sales Flores; Euler Cassio Tavares de Macedo (Sensors, 2022)

TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance. - Jordão da Silva; Thommas K. S. Flores; Silvan Júnior; Ivanovitch Silva (LA-CCI, 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 (MetroAutomotive, 2023)

Can adaptive strategies sustain bidirectional LoRaWAN traffic? - Emiliano Sisinni; Alessandro Depari; Paolo Bellagente; Alessandra Flammini; Ivanovitch Silva; Thommas K. S. Flores; Paolo Ferrari (MetroInd4.0&IoT, 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 (SIoT, 2023)

A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing. - Morsinaldo Medeiros; Thommas K. S. Flores; Marianne Silva; Ivanovitch Silva (EAIS, 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 (SIoT, 2024)

Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique. - Pedro Andrade; Ivanovitch Silva; Marianne Diniz; Thommas K. S. Flores; Daniel G. Costa; Eduardo A. Soares 001 (ACM Trans. Embed. Comput. Syst., 2024)

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)

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)

TensorFlores: An enhanced Python-based TinyML framework. - Thommas K. S. Flores; Daniel G. Costa; Ivanovitch Silva (SoftwareX, 2025)