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Ivanovitch Silva

Professor

Federal University of Rio Grande do Norte

Brazil

Research Interests

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Articles (20)

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2026

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2025

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2023

Collaborators (6)

Daniel Costa

Assistant Professor

University of Porto

PORTUGAL

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Luiz Affonso Guedes

Full Professor

Federal University of Rio Grande do Norte

BRAZIL

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Carlos Manuel Dias Viegas

Assistant Professor

Federal University of Rio Grande do Norte

BRAZIL

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Emiliano SISINNI

Full professor

University of Brescia

ITALY

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Paolo Ferrari

Full Professor

University of Brescia

ITALY

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Allan Martins

Associate Professor

Federal University of Rio Grande do Norte

BRAZIL

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Ivanovitch Silva

Research Interests

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Articles (20)

Explaining Driver Behavior in Sim Racing with Shannon Entropy and LLM Feedback

Integrating Textual Queries with AI-Based Object Detection: A Compositional Prompt-Guided Approach

On the Use of a Bike-Sharing System in Extreme Weather Events: The Case of Porto Alegre, Rio Grande do Sul, Brazil

Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles

Kolmogorov-Arnold Networks for Interpretable Analysis of Water Quality Time-Series Data

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

Exploring Legislative Textual Data in Brazilian Portuguese: Readability Analysis and Knowledge Graph Generation

Avaliação da Latência em Sistemas de Monitoramento Veicular Embarcado com Aprendizado de Máquina

Avaliação de Algoritmos de Compressão de Séries Temporais Multivariadas com TinyML em Dispositivos Embarcados

Infraestrutura Descentralizada para Registro Auditável de Emissões Veiculares de CO₂: Aplicação de Blockchain em Veículos Conectados

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

Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning

Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique

An Evolving Multivariate Time Series Compression Algorithm for IoT Applications

Anomaly Detection in Simulated Vehicle Dynamics Using BeamNG.tech and the TEDA Framework

Inferring Driver Behavior Profiles Using Digital Twins in Simulated Environments

TAC: A Python package for IoT-focused Tiny Anomaly Compression

On the Use of Biofuels for Cleaner Cities: Assessing Vehicular Pollution through Digital Twins and Machine Learning Algorithms

TEDA-RLS: A TinyML Incremental Learning Approach for Outlier Detection and Correction

Analysis of Language-Model-Powered Chatbots for Query Resolution in PDF-Based Automotive Manuals

Collaborators (6)

Daniel Costa

Luiz Affonso Guedes

Carlos Manuel Dias Viegas

Emiliano SISINNI

Paolo Ferrari

Allan Martins

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