Methods of parallel vertical data processing in neural networks ^{1}Grytsyk VV, ^{1}Tsmots IG, ^{1}Skorokhoda OV. Methods of parallel vertical data processing in neural networks. 2014 ;(10):40-44.

Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices ^{1}Hrytsyk VV, ^{2}Hrytsyk VV, ^{1}Zozulya AM. Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices. 2015 ;(12):19-24.

Modeling of the signal propagation in real systems with finite interval and absorption ^{1}Kryvonos Yu.G, ^{2}Selezov IT. Modeling of the signal propagation in real systems with finite interval and absorption. 2016 ;(4):35-40.

Application of the cyclic queueing systems ^{1}Serebriakova SV. Application of the cyclic queueing systems. 2016 ;(3):32-37.

Polynomial algorithms of solution for some problems of construction of the timetables of a device for demands with waiting ^{1}Iemets OO, ^{2}Leonova MV. Polynomial algorithms of solution for some problems of construction of the timetables of a device for demands with waiting. 2016 ;(3):26-31.

Properties of linear unconditional optimization problems on arrangements under probabilistic uncertainty ^{1}Iemets OO, ^{2}Barbolina TM. Properties of linear unconditional optimization problems on arrangements under probabilistic uncertainty. 2016 ;(2):31-37.

Affine-invariant depth-based classifiers on the basis of the k-nearest neighbors method ^{1}Galkin OA. Affine-invariant depth-based classifiers on the basis of the k-nearest neighbors method. 2016 ;(2):25-30.

Effective pursuit strategies based on the use of the Lyapunov function ^{1}Pashko SV. Effective pursuit strategies based on the use of the Lyapunov function. 2016 ;(1):26-33.

The normal forms of knowledge ^{1}Kurgaev AF, ^{1}Grygoryev SN. The normal forms of knowledge. Reports of the National Academy of Sciences of Ukraine. 2015 ;(11):36-43.

Asymptotic estimate of depth-based classifiers within the location shift model ^{1}Galkin OA. Asymptotic estimate of depth-based classifiers within the location shift model. Reports of the National Academy of Sciences of Ukraine. 2015 ;(11):30-35.