A spatiotemporal kinetics of the active medium of a copper vapor brightness amplifier is
described that allows gain characteristics to be investigated during the pump pulse. Model …

Machine learning is an intensively evolving field of artificial intelligence with applications in
all areas where data from observations and experiments are accumulated. In this study, for …

This study examines the available experiment data for a copper bromide vapor laser (CuBr
laser), emitting in the visible spectrum at 2 wavelengths—510.6 and 578.2 nm. Laser output …

Представлено описание пространственно-временной кинетической модели активной
среды усилителя яркости на парах меди, позволяющей проводить исследования …

New results of statistical modeling of data on laser efficiency of copper bromide lasers using
the nonparametric method of multivariate adaptive regression splines (MARS). Linear and …

This study demonstrates the high capabilities of data mining and the random forest (RF)
machine learning technique for processing experimental data in the field of laser equipment …

The subject of this study is a CuBr laser. Due to its wide range of applications, it continues to
be the object of scientific studies. For the first time, based on regression analysis, second …

Due to advancement in computing technology researchers are focusing onto novel
predictive models and techniques for improving the design and performance of the devices …

A Generalized PathSeeker Regularized Regression (GPSRR), based on data mining
approach, is applied for statistical modeling and prediction of output power of copper …

This paper presents an application of one of the latest regression methods–generalized
PathSeeker (GPS), stemming from the new generation of predictive techniques which use …