31 citations · 58 across the 7 of their papers we have counts for
8 papers
Learning ECG Signal Features Without Backpropagation Using Linear Laws
Péter Pósfay, Marcell T. Kurbucz, Péter Kovács +1
This paper introduces LLT-ECG, a novel method for electrocardiogram (ECG) signal classification that leverages concepts from theoretical physics to automatically generate features…
Spontaneous Symmetry Breaking without classical fields: a Functional Renormalization Group approach
A. Jakovac, P. Mati, P. Posfay
We propose an approach to describe Spontaneous Symmetry Breaking (SSB) that does not rely on the order parameter dependent free energy (Landau theory). We use the Functional Renorm…
Reconstruction of observed mechanical motions with Artificial Intelligence tools
Antal Jakovac, Marcell T. Kurbucz, Peter Posfay
The goal of this paper is to determine the laws of observed trajectories assuming that there is a mechanical system in the background and using these laws to continue the observed…
Estimating Compressibility from Maximal-mass Compact Star Observations
Gergely Gábor Barnaföldi, Péter Pósfay, Balázs E. Szigeti +1
We investigated recent observation data of pulsar masses of PSR J07406620, PSR J03480432, and PSR J16142230 based on the extended - model. We assumed that these puls…
Studying the parameters of the extended - model for neutron star matter
David Alvarez-Castillo, Alexander Ayriyan, Gergely Gábor Barnaföldi +2
In this work we study the parameters of the extended - model for neutron star matter by a Bayesian analysis on state-of-the-art multi-messenger astronomy observations, namely…
Estimating the variation of neutron star observables by symmetric dense nuclear matter properties
Péter Pósfay, Gergely Gábor Barnaföldi, Antal Jakovác
Recent multi-channel astrophysics observations and the soon-to-be published new measured electromagnetic and gravitation data provide information on the inner structure of the comp…