2 papers
eess.SP2024
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
Vasilis Michalakopoulos, Elissaios Sarmas, Viktor Daropoulos +4
Central to achieving the energy transition, heating systems provide essential space heating and hot water in residential and industrial environments. A major challenge lies in effe…
eess.IV2020
Sparse Inpainting with Smoothed Particle Hydrodynamics
Viktor Daropoulos, Matthias Augustin, Joachim Weickert
Digital image inpainting refers to techniques used to reconstruct a damaged or incomplete image by exploiting available image information. The main goal of this work is to perform…