Computational Intelligence Techniques for Resolution Engineering Problems

All Items

• A Vibration-Based Feature Selection Approach for Intelligent Diagnosis of Multiple Fault Conditions

  SILLAS SILVA, Cleber Gustavo Dias, Fabio Henrique Pereira

• Advancements in Neural Networks and Artificial Intelligence for Predicting Water Quality Parameters

  Julio Cesar da Silva, Gustavo Nunes Pacheco

• An AutoML framework for transfer learning applied to solar radiation prediction: A case study em Juiz de Fora, Minas Gerais, Brazil.

  Samuel Basilio, LEONARDO GOLIATT DA FONSECA

• Application of Computational Intelligence in the Financial Market

  Bruno da Silva Macêdo, Rita de Cássia de Vasconcelos Pedrosa, Bruno Henrique Gronner Barbosa, Camila Martins Saporetti, Leonardo Goliatt, Érica da Costa Reis Carvalho, Breno Cauê Saturnino Carlos e Casais, Giovanna Gouvea Spuri de Miranda

• Application of Genetic Algorithms in In-Core Fuel Management for Small Modular Reactors (SMRs)

  Kassio Rodrigues, Arthur Reis Martins, Pedro Rodrigues, Matheus Barros Micelli

• Application of Machine Learning Techniques in the Pulp and Paper Industry

  Breno Caue Saturnino Carlos e Casais, Bruno da Silva Macêdo, Sandro Pereira da Silva, Bruno Henrique Gronner Barbosa, Camila Martins Saporetti, Leonardo Goliatt

• Application of Neural Networks for the Assessment of linking Damage Zones of Geological Faults

  Arthur Gomes, Roberto Quevedo, Deane Roehl, Bruno R. B. M. Carvalho

• Approaches for Maximum Deformation Prediction Using Computational Intelligence

  João Victor Sader de Oliveira, Januário Ernesto Antonio Domingos, Dra. Camila Martins Saporetti

• Automating Fire Protection Engineering Plan Analysis: Deep Learning for Symbol Detection

  Pedro Dalvi Boina, Luiz Alberto Pinto

• Designing Forecasting Models using Composite AutoML for Air Quality Modeling in a Coastal Urban Area

  Leonardo Goliatt, Daniil Kravchenko, Georgii Lopatenko, Alexey Lapin, Xeniya Bashkova, Julia Borisova, Nikolay O. Nikitin