costpetrides
Department of Physics NKUA, Greece Section of Atmospheric Physics
University of Athens (NKUA)Cyprus
Pinned Repositories
Air-pollution-COVID-19-impact
Atmospheric-Boundary-Layer
autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Brain-Tumor-Classification
Brain tumor classification using deep learning CNN model to analyze MRI images.
CompPhysics
Material for my course of Computational Physics (3rd semester, obligatory), in National and Kapodistrian University of Athens
Computational-Physics
Example codes and brief theory for Computational Physics Course at NKUA
costpetrides.github.io
Fluid-Dynamics-Navier-Stokes
Navier-Stokes-Simulations
Gamma_Ray-Hadron-Shower-Discrimination
Machine Learning for Gamma-Ray and Hadron Shower Discrimination in Cherenkov Telescopes
CompPhysics
Material for my course of Computational Physics (3rd semester, obligatory), in National and Kapodistrian University of Athens
costpetrides's Repositories
costpetrides/Computational-Physics
Example codes and brief theory for Computational Physics Course at NKUA
costpetrides/Fluid-Dynamics-Navier-Stokes
Navier-Stokes-Simulations
costpetrides/Air-pollution-COVID-19-impact
costpetrides/Atmospheric-Boundary-Layer
costpetrides/autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
costpetrides/Brain-Tumor-Classification
Brain tumor classification using deep learning CNN model to analyze MRI images.
costpetrides/CompPhysics
Material for my course of Computational Physics (3rd semester, obligatory), in National and Kapodistrian University of Athens
costpetrides/costpetrides.github.io
costpetrides/Gamma_Ray-Hadron-Shower-Discrimination
Machine Learning for Gamma-Ray and Hadron Shower Discrimination in Cherenkov Telescopes
costpetrides/NOx-Ozone-Relationship-Modeling-with-ML
This repository contains machine learning models for analyzing and predicting the nonlinear relationship between NOx (nitrogen oxides) and ozone concentrations. It includes implementations of methods such as regression analysis, support vector machines, random forests, and neural networks to capture complex dependencies in environmental data.