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Thiago Esterci Fernandes

Observed names: Thiago E. Fernandes, Thiago Fernandes
ORCID: 0000-0002-3596-7057
Observed ORCID: 0000-0002-3596-7057
OpenAlex ID: A5103194369
Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach
2022 · Arthur Caio Vargas Pinto, Thiago Esterci Fernandes, et al. · Evolving Systems · 12
A New Model to Distinguish Railhead Defects Based on Set-Membership Type-2 Fuzzy Logic System
2020 · Eduardo P. de Aguiar, Thiago E. Fernandes, et al. · International Journal of Fuzzy Systems · 11
A new model to prevent failures in gas turbine engines based on TSFRESH, self-organized direction aware data partitioning algorithm and machine learning techniques
2021 · Thiago E. Fernandes, Eduardo P. de Aguiar · Journal of the Brazilian Society of Mechanical Sciences and Engineering · 6
Classification of Lathe’s Cutting Tool Wear Based on an Autonomous Machine Learning Model
2021 · Thiago E. Fernandes, Matheus A. M. Ferreira, et al. · Journal of Control Automation and Electrical Systems · 5
Computational cost and accuracy of physics-informed and conventional NNs for immune response modeling
2026 · Thiago E. Fernandes, Rodrigo W. dos Santos, et al. · Journal of Computational Science · 1
Modelagem Térmica de Transformadores de Potência Baseada em SODA e Sistema de Inferência Fuzzy Otimizado por Enxame de Partículas
2020 · Danilo P. M. de Souza, Eduardo P. de Aguiar, et al. · Anais do Congresso Brasileiro de Automática 2020 · 1
Modeling the Immune Response with Machine Learning: Validation and Computational Cost Analysis of PINNs Compared to Neural Networks and Finite Volume Methods
2026 · Thiago E. Fernandes, Rodrigo W. dos Santos, et al.
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Computational cost and accuracy of physics-informed and conventional NNs for immune response modeling
2026 · Thiago Fernandes, Rodrigo Weber dos Santos, et al. · SSRN Electronic Journal
Modelagem da resposta imunológica com aprendizado de máquina: validação e analise de custo computacional de PINNs frente a redes neurais e volumes finitos
2025 · Thiago Esterci Fernandes
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Bridging Accuracy and Efficiency: The Role of PINNs in Immune Response Simulations
2024 · Thiago E. Fernandes, Rodrigo W. Dos Santos, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Multivariate Time Series and Machine Learning Techniques for the multi-class Classification of Lathe’s Cutting Tools Wear Condition
2022 · Thiago E. Fernandes, Matheus A. M. Ferreira, et al. · Congresso Brasileiro de Automática
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Análise de Relevância de Atributos para Classificação de Falhas de Ferramentas de Corte Utilizando TSFRESH
2022 · Matheus A. M. Ferreira, Thiago E. Fernandes, et al. · Anais do XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
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An Autonomous Model to Classify Lathe's Cutting Tools Based on TSFRESH, Self-Organised Direction Aware Data Partitioning Algorithm and Machine Learning Techniques
2020 · Thiago E. Fernandes, Guilherme P. C. de Miranda, et al. · Anais do Congresso Brasileiro de Automática 2020
Works count: 13
Citation count: 36
H-index: 4
I10-index: 2
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