460 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Academy of Sciences of UkraineUA46 papers
- Bogolyubov Institute for Theoretical PhysicsUA36 papers
- Institute of PhysicsPL31 papers
- Taras Shevchenko National University of KyivUA21 papers
- Institute of MagnetismUA16 papers
- Institute for Information RecordingUA13 papers
- Clarkson UniversityUS12 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ12 papers
- Institute of MathematicsPL12 papers
- Frantsevich Institute for Problems in Materials ScienceUA11 papers
- Institute for Nuclear ResearchRU9 papers
- Johannes Gutenberg University MainzDE8 papers
22 papers · 1 filter
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases
Yuriy Kochura, Yuri Gordienko, Vlad Taran +4
The impact of the maximally possible batch size (for the better runtime) on performance of graphic processing units (GPU) and tensor processing units (TPU) during training and infe…
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions
Vlad Taran, Yuri Gordienko, Alexandr Rokovyi +2
Preparation of high-quality datasets for the urban scene understanding is a labor-intensive task, especially, for datasets designed for the autonomous driving applications. The app…
Impact of MQTT Based Sensor Network Architecture on Delivery Delay Time
Oleksandr Kovalchuk, Yuri Gordienko, Sergii Stirenko
The purpose of this study is to present two new architectures of the complexes of embedded systems in the context of the Internet of Things. The proposed new schemes use the MQTT p…
Ferrimagnetic organelles in multicellular organisms
Svitlana Gorobets, Oksana Gorobets, Yuri Gorobets +1
In this paper, it was revealed by means of methods of atomic force microscopy and magnetic force microscopy that the biogenic magnetic nanoparticles are localized in the form of ch…
Edwards curve point counting method and supersingular Edwards and Montgomery curves
Ruslan Skuratovskii
We consider algebraic affine and projective curves of Edwards \cite{E, SkOdProj} over a finite field . Most cryptosystems of the modern cryptography \cite{SkBlock}…
Ultra-narrow spin wave metasurface for focusing application
M. Zelent, M. Mailyan, V. Vashistha +4
In this paper we show that the phase shift of the spin waves can be controlled in transmission through metasurface represented as an ultra-narrow non-magnetic spacer separating two…
Simple description of the temperature dependencies of the width of fission-fragment mass yield in 197Au and 209Bi at intermediate energies
V. Yu. Denisov, O. A. Belyanovska, V. P. Khomenkov +2
Simple approach is used to a description of the experimental data for the widths of fission fragment mass yields in 197Au and 209Bi at low and intermediate energies. This approach…
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting
Nikita Gordienko, Yuriy Kochura, Vlad Taran +3
Automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukraine) was demonstrated by means of capsule deep l…
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Nikita Gordienko, Peng Gang, Yuri Gordienko +4
Machine learning techniques are presented for automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukrain…
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
Sergii Stirenko, Gang Peng, Wei Zeng +4
Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue . They are based on the statistical analys…
Spin wave modes in a cylindrical nanowire in crossover dipolar-exchange regime
J. Rychły, V. S. Tkachenko, J. W. Kłos +2
Nanoscale magnetic systems have been studied extensively in various geometries, such as wires of different cross-sections, arrays of wires, dots, rings, etc. Such systems have inte…
K-method of calculating the mutual influence of nodes in a directed weight complex networks
Andrei Snarskii, Dmyto Lande, Dmyto Manko
A new characteristic of paired nodes in a directed weight complex network is considered. A method (named as K-method) of the characteristics calculation for complex networks is pro…
The Diffusion-Hardening Effect on the Technological Properties of High-Temperature Steel
Andrii. V. Hruzevyich, Dmytro. O. Derecha
The results of research pipes diffusion hardening as an effective method for increasing the durability and reliability of power equipment are presented. The experience of commercia…
A note on the application of the Guermond-Pasquetti mass lumping correction technique for convection-diffusion problems
Sergii Siryk
We provide a careful Fourier analysis of the Guermond-Pasquetti mass lumping correction technique [Guermond J.-L., Pasquetti R. A correction technique for the dispersive effects of…
Fatou's Lemma for Weakly Converging Measures under the Uniform Integrability Condition
Eugene A. Feinberg, Pavlo O. Kasyanov, Yan Liang
This note describes Fatou's lemma and Lebesgue's dominated convergence theorem for a sequence of measures converging weakly to a finite measure and for a sequence of functions whos…
Large deviations of regression parameter estimator in continuous-time models with sub-Gaussian noise
Alexander V. Ivanov, Igor V. Orlovskyi
A continuous-time regression model with a jointly strictly sub-Gaussian random noise is considered in the paper. Upper exponential bounds for probabilities of large deviations of t…
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images
Vlad Taran, Nikita Gordienko, Yuriy Kochura +4
Semantic image segmentation is one the most demanding task, especially for analysis of traffic conditions for self-driving cars. Here the results of application of several deep lea…
Roles of chiral renormalization on magnetization dynamics in chiral magnets
Kyoung-Whan Kim, Hyun-Woo Lee, Kyung-Jin Lee +3
In metallic ferromagnets, the interaction between local magnetic moments and conduction electrons renormalizes parameters of the Landau-Lifshitz-Gilbert equation such as the gyroma…
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
Sergii Stirenko, Yuriy Kochura, Oleg Alienin +4
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis…
An example showing that A-lower semi-continuity is essential for minimax continuity theorems
Eugene A. Feinberg, Pavlo O. Kasyanov, Michael Z. Zgurovsky
Recently Feinberg et al. [arXiv:1609.03990] established results on continuity properties of minimax values and solution sets for a function of two variables depending on a paramete…
Temperature-dependent magnetic properties of a magnetoactive elastomer: immobilization of the soft-magnetic filler
Andrii V. Bodnaruk, Alexander Brunhuber, Viktor M. Kalita +5
Magnetic properties of a magnetoactive elastomer (MAE) filled with μm-sized soft-magnetic iron particles have been experimentally studied in the temperature range between 150 K and…
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer
Yu. Gordienko, Yu. Kochura, O. Alienin +5
Efficiency of some dimensionality reduction techniques, like lung segmentation, bone shadow exclusion, and t-distributed stochastic neighbor embedding (t-SNE) for exclusion of outl…