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Thommas K. S. Flores
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2020 – today
- 2024
- [j6]Pedro Andrade
, Ivanovitch Silva
Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique. ACM Trans. Embed. Comput. Syst. 23(3): 50:1-50:28 (2024) - [c9]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: 1-8 - 2023
- [c8]Jordão da Silva, Thommas K. S. Flores, Silvan Júnior, Ivanovitch Silva:
TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance. LA-CCI 2023: 1-6 - [c7]Thommas K. S. Flores, Marianne Silva
TinyML for Safe Driving: The Use of Embedded Machine Learning for Detecting Driver Distraction. MetroAutomotive 2023: 62-66 - [c6]Emiliano Sisinni, Alessandro Depari, Paolo Bellagente
Can adaptive strategies sustain bidirectional LoRaWAN traffic? MetroInd4.0&IoT 2023: 66-71 - [c5]Thommas K. S. Flores, Matheus Andrade, Morsinaldo Medeiros, Miguel Amaral, Marianne Silva
Leveraging IoT and TinyML for Smart Battery Management in Electric Bicycles. SIoT 2023: 1-5 - 2022
- [j5]Rômulo Navega Vieira
State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. Sensors 22(3): 1179 (2022) - [j4]Robson Pacífico Guimarães Lima
Development of a Soft Sensor for Flow Estimation in Water Supply Systems Using Artificial Neural Networks. Sensors 22(8): 3084 (2022) - [j3]Pedro Andrade
A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions. Sensors 22(10): 3838 (2022) - [c4]Marianne Silva
An Online Unsupervised Machine Learning Approach to Detect Driving Related Events. IECON 2022: 1-6 - [c3]Thommas K. S. Flores, Marianne Silva
A TinyML Soft-Sensor for the Internet of Intelligent Vehicles. MetroAutomotive 2022: 18-23 - [c2]Marianne Silva
A data-stream TinyML compression algorithm for vehicular applications: a case study. MetroInd4.0& IoT 2022: 408-413 - 2021
- [j2]Thommas Kevin Sales Flores
Indirect Feedback Measurement of Flow in a Water Pumping Network Employing Artificial Intelligence. Sensors 21(1): 75 (2021) - [j1]Thommas Kevin Sales Flores
Adaptive Pressure Control System Based on the Maximum Correntropy Criterion. Sensors 21(15): 5156 (2021)
2010 – 2019
- 2019
- [c1]Thommas K. S. Flores, Juan Moises Maurício Villanueva
Fuzzy Pressure Control System in Water Supply Networks with Series-Parallel Pumps. I2MTC 2019: 1-6
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