Computational Intelligence Techniques for Resolution Engineering Problems

Todos os itens

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

  SILLAS SILVA, Fabio Henrique Pereira, Cleber Gustavo Dias

• 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 Casais, Sandro Pereira da Silva, Bruno Henrique Gronner Barbosa, Camila Martins Saporetti, Leonardo Goliatt, Bruno da Silva Macêdo

• 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

• EEG Signal Classification Using Machine Learning for Wheelchair Control

  Giovanna Gouvea Spuri d Miranda, WILIAN SOARES LACERDA, BRUNO DA SILVA MACEDO, Camila Terra Spuri de Miranda

• Estimation of Suspension Parameters for the MOWAG Piranha IIIC 8WD Combat Vehicle using the Markov Chain Monte Carlo Method

  Tales Pereira Amorim, Bruna Loiola, Elias Dias Rossi Lopes, Gustavo Simão Rodrigues

• Flexible job shop scheduling problem with non-linear routes, energy awareness and position-based learning effect

  Débora Pretti Ronconi, Ernesto Julian Goldberg Birgin, José Angel Riveaux

• Optimization and Analysis of Micro Modular Reactors (MMR) Using Computational Intelligence and Python Automation

  Arthur Reis Martins, Matheus Barros Micelli, Kassio V. A. Rodrigues, Pedro H. S. Rodrigues, Pedro Carlos Russo Rossi

• Prediction of Flowing Bottomhole Pressure (FBHP) through Optimized Machine Learning Techniques.

  Januario Ernesto Antonio Domingos, Joao Victor Sader de Oliveira, Camila Martins Saporetti

• Real-Time Detection System for PPE Usage Using Computer Vision

  Pedro Felype, Guilherme Silveira Da Rocha, Juliette Zanetti, Yuri Ricardo Moratori

• Visual Detection of Surface Defects in Wind Turbine Blades Using Two-Step Image Segmentation

  Carlos Gomes de Carvalho Júnior, Rafael Tasinato, André Rezende de Figueiredo Oliveira, Hermes Senger, Edson Satoshi Gomi, Jean Lourenço da Silva, Stevan Henrique Ramon de Góes