output
20202025
most citedMachine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application

49 citations

9 papers

hep-ex2025

Measurements of electroweak production of a photon in association with two jets in proton-proton collisions at = 13 TeV

CMS Collaboration

The first observation of electroweak production of a photon in association with two forward jets in proton-proton collisions is presented. The measurement uses data recorded by the…

hep-ex2025

Search for a new neutral gauge boson produced in association with one or two b jets and decaying into a pair of muons in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for a new neutral gauge boson, Z', produced in association with one or two jets, including at least one b jet, and decaying into a pair of muons is presented. The analysis…

hep-ex2025

Jet fragmentation function and groomed substructure of bottom quark jets in proton-proton collisions at 5.02 TeV

CMS Collaboration

A measurement of the substructure of bottom quark jets (b jets) in proton-proton (pp) collisions is presented. The measurement uses data collected in pp collisions at =…

cs.LG202229 cited

Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers

Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev

Early evaluation of patients who require special care and who have high death-expectancy in COVID-19, and the effective determination of relevant biomarkers on large sample-groups…

cs.LG202249 cited

Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application

Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev +2

Healthcare digitalization requires effective applications of human sensors, when various parameters of the human body are instantly monitored in everyday life due to the Internet o…

math.NT20224 cited

A Short Note on the Pell-Lucas-Eisenstein Series

Mine Uysal, Ilker Inam, Engin Ozkan

In this work, we define a new type of Eisenstein-like series by using Pell-Lucas numbers and call them the Pell-Lucas-Eisenstein Series. Firstly, we show that the Pell-Lucas-Eisens…