most citedMachine learning methods for Schlieren imaging of a plasma channel in tenuous atomic vapor

5 citations · 5 across the 3 of their papers we have counts for

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hep-ph2023

Machine Learning based KNO-scaling of charged hadron multiplicities with Hijing++

Gábor Bíró, Gergely Gábor Barnaföldi

The scaling properties of the final state charged hadron and mean jet multiplicity distributions, calculated by deep residual neural network architectures with different complexiti…

hep-ph2022

Testing of KNO-scaling of charged hadron multiplicities within a Machine Learning based approach

Gábor Bíró, Bence Tankó-Bartalis, Gergely Gábor Barnaföldi

The results of a Machine Learning-based method is presented here to investigate the scaling properties of the final state charged hadron and mean jet multiplicity distributions. De…