Name: Guilherme Fidelis Peixer
Type: User
Company: Polo - Research Laboratories for Emerging Technologies in Cooling and Thermophysics
Bio: Research and Development Engineer at Polo | M.Sc. in Thermal Engineering | Modeling and Optimization Specialist
Location: Florianópolis - Brasil
Blog: https://polo.ufsc.br/
Guilherme Fidelis Peixer's Projects
This is the first repository published by Petrobras on GitHub. It supports the 3W project and promotes experimentation of Machine Learning-based approaches and algorithms for specific problems related to undesirable events that occur in offshore oil wells.
This repository contains a comparisson between classic and deep learning methods for the identification of critical heat flux with computer vision.
ollection of algorithms and implementations that harness the potential of data to solve complex problems across various domains.
This repository contains the evaluation of different optimization algortithms for the solution of structural problems.
This repository contains the implementation of an algorithm for optimization via genetic algorithms.
My personal repository
Fine tuning of Large Language Models for question-answering tasks.
This repository contains the implemenation of machine and deep learning algorithms for regression and classification tasks
This repository includes the code for the optimization of fan-assisted tube-fin heat exchangers via genetic algorithms.
This repository has the goal to evaluate the performance of different modelling methodologies in the simulation of Thermal Regenerators, focused mainly on Active Magnetic Regenerators.
This repository contains the evaluation of traditional computer vision techniques for different tasks.