Thommas K. S. Flores

18 papers C 2Journal 6Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the role of AI in building generative urban intelligence. Artif. Intell. Rev. João Carlos N. Bittencourt, Thommas K. S. Flores, Thiago C. Jesus, Daniel G. Costa
2025	J	`jnl`	Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles. IEEE Micro Thommas K. S. Flores, Ivanovitch Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, Daniel G. Costa, Paolo Ferrari, Emiliano Sisinni
2025	J	`jnl`	Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering. IEEE Access Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva
2025	C	`conf`	Kolmogorov-Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles. ETFA Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva
2025	—	`conf`	Quantifying the Carbon Footprint of Electric Vehicles in Sustainable Urban Mobility. ISC2 Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva
2025	J	`jnl`	TensorFlores: An enhanced Python-based TinyML framework. SoftwareX Thommas K. S. Flores, Daniel G. Costa, Ivanovitch Silva
2024	—	`conf`	A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing. EAIS Morsinaldo Medeiros, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva
2024	J	`jnl`	Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique. ACM Trans. Embed. Comput. Syst. Pedro Andrade, Ivanovitch Silva, Marianne Diniz, Thommas K. S. Flores, Daniel G. Costa, Eduardo A. Soares
2024	—	`conf`	TinyML Implementation and Optimization for Fuel Type Classification on OBD-II Edge Device. SIoT Miguel Amaral, Morsinaldo Medeiros, Matheus Andrade, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva
2023	—	`conf`	Can adaptive strategies sustain bidirectional LoRaWAN traffic? MetroInd4.0&IoT Emiliano Sisinni, Alessandro Depari, Paolo Bellagente, Alessandra Flammini, Ivanovitch Silva, Thommas K. S. Flores, Paolo Ferrari
2023	—	`conf`	Leveraging IoT and TinyML for Smart Battery Management in Electric Bicycles. SIoT Thommas K. S. Flores, Matheus Andrade, Morsinaldo Medeiros, Miguel Amaral, Marianne Silva, Ivanovitch Silva
2023	—	`conf`	TinyML for Safe Driving: The Use of Embedded Machine Learning for Detecting Driver Distraction. MetroAutomotive Thommas K. S. Flores, Marianne Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, Ivanovitch Silva, Max Mauro Dias Santos, Daniel G. Costa
2023	—	`conf`	TinyML-Based Pothole Detection: A Comparative Analysis of YOLO and FOMO Model Performance. LA-CCI Jordão da Silva, Thommas K. S. Flores, Silvan Júnior, Ivanovitch Silva
2022	J	`jnl`	A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions. Sensors Pedro Andrade, Ivanovitch Silva, Marianne Batista Diniz Da Silva, Thommas K. S. Flores, Jordão Cassiano, Daniel G. Costa
2022	—	`conf`	A TinyML Soft-Sensor for the Internet of Intelligent Vehicles. MetroAutomotive Thommas K. S. Flores, Marianne Silva, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari, Stefano Rinaldi
2022	—	`conf`	A data-stream TinyML compression algorithm for vehicular applications: a case study. MetroInd4.0& IoT Marianne Silva, Gabriel Signoretti, Thommas K. S. Flores, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari
2022	C	`conf`	An Online Unsupervised Machine Learning Approach to Detect Driving Related Events. IECON Marianne Silva, Thommas K. S. Flores, Pedro Andrade, Jordão Silva, Ivanovitch Silva, Daniel G. Costa
2019	—	`conf`	Fuzzy Pressure Control System in Water Supply Networks with Series-Parallel Pumps. I2MTC Thommas K. S. Flores, Juan Moises Maurício Villanueva, Sebastian Y. C. Catunda, Heber Pimentel Gomes