Industrial Semi-Supervised Dynamic Soft-Sensor Modeling Approach Based on Deep Relevant Representation Learning by Moreira de Lima, Jean Mário, Ugulino de Araújo, Fábio Meneghetti

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Industrial Soft Sensor Optimized by Improved PSO: A Deep Representation-Learning Approach by Severino, Alcemy Gabriel Vitor, de Lima, Jean Mário Moreira, de Araújo, Fábio Meneghetti Ugulino

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Assessment and certification of neonatal incubator sensors through an inferential neural network by de Araújo, José Medeiros, de Menezes, José Maria Pires, Moura de Albuquerque, Alberto Alexandre, da Mota Almeida, Otacílio, Ugulino de Araújo, Fábio Meneghetti

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Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection by Vieira, Romênia Gurgel, Dhimish, Mahmoud, de Araújo, Fábio Meneghetti Ugulino, da Silva Guerra, Maria Izabel

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Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes by Moreira de Lima, Jean Mario, Ugulino de Araujo, Fabio Meneghetti

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Nonlinear Control System with Reinforcement Learning and Neural Networks Based Lyapunov Functions by Rego, Rosana Cibely Batista, Araujo, Fabio Meneghetti Ugulino de

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Multiple-Model Identification Using ANFIS for Nonlinear Systems by Rodrigues, Marconi Camara, de Araujo, Fabio Meneghetti Ugulino, Maitelli, Andre Laurindo

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A Modified Matricial PSO Algorithm Applied to System Identification with Convergence Analysis by de Azevedo Dantas, Andre Felipe Oliveira, Maitelli, Andre Laurindo, da Silva Linhares, Leandro Luttiane, de Araujo, Fabio Meneghetti Ugulino

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A simple technique for identifying a linearized model for a didactic magnetic levitation system by Galvao, R.K.H., Yoneyama, T., de Araujo, F.M.U., Machado, R.G.

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