Thommas K. S. Flores

According to our database, Thommas K. S. Flores authored at least 13 papers between 2019 and 2023.

Collaborative distances:

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

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

Can adaptive strategies sustain bidirectional LoRaWAN traffic?

Emiliano Sisinni, Alessandro Depari, Paolo Bellagente, Alessandra Flammini, Ivanovitch Silva, Thommas K. S. Flores, Paolo Ferrari

Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 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

TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance.

Jordão da Silva, Thommas K. S. Flores, Silvan Júnior, Ivanovitch Silva

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

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

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

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

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

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

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2022

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

Proceedings of the IECON 2022, 2022

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

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

2019

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019