1 citations · 1 across the 5 of their papers we have counts for
5 papers
Extensive Air Showers Parameters Estimation Using Machine Learning Techniques with Simulations of the FAST Telescope
Jiř\'ı Kvita, Monika Machalová, Radek Př\'ıvara +2
We present the capabilities of the Fluorescence detector Array of Single-pixel Telescopes (FAST) observatory in the single telescope configuration as an important step towards the…
Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes
Jiří Kvita, Petr Baroň, Monika Machalová +3
We study the application of selected ML techniques to the recognition of a substructure of hadronic final states (jets) and their tagging based on their possible origin in current…
Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM and BSM Processes
Jiří Kvita, Petr Baroň, Monika Machalová +3
We apply both cut-based and machine learning techniques using the same inputs to the challenge of hadronic jet substructure recognition, utilizing classical subjettiness variables…
Application of Machine Learning Based Top Quark and W Jet Tagging to Hadronic Four-Top Final States Induced by SM as well as BSM Processes
Petr Baroň, Jiří Kvita, Radek Přívara +2
We apply gradient boosting machine learning techniques to the problem of hadronic jet substructure recognition using classical subjettiness variables available within a common para…
Relative energy inequality and weak-strong uniqueness]{Relative energy inequality and weak-strong uniqueness for an isothermal non-Newtonian compressible fluid
Richard Andrášik, Václav Mácha, Rostislav Vodák
Our paper deals with three-dimensional nonsteady Navier-Stokes equations for non-Newtonian compressible fluids. It contains a~derivation of the relative energy inequality for the w…