output
19962026
most citedUltra-high-Q resonances in plasmonic metasurfaces

460 citations

Showing 2017Show all

23 papers · 1 filter

cs.LG2017★ 131 cited

Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer

Yu. Gordienko, Peng Gang, Jiang Hui +5

The recent progress of computing, machine learning, and especially deep learning, for image recognition brings a meaningful effect for automatic detection of various diseases from…

cond-mat.mes-hall2017★ 7 cited

On the theory of the Schroedinger equation with the full set of relativistic corrections

A. A. Eremko, L. S. Brizhik, V. M. Loktev

All relativistic corrections to the Scr{ö}dinger equation which determine the interlink between spin and orbit of moving particles, are directly calculated from the Dirac equation…

cond-mat.mes-hall2017★ 26 cited

Kinetic Monte Carlo Model of Breakup of Nanowires into Chains of Nanoparticles

Vyacheslav Gorshkov, Vladimir Privman

A kinetic Monte Carlo approach is applied to studying shape instability of nanowires that results in their breaking up into chains of nanoparticles. Our approach can be used to exp…

math.NA2017★ 15 cited

The quasi-optimality criterion in the linear functional strategy

Stefan Kindermann, Sergiy Pereverzyev, Andrey Pilipenko

The linear functional strategy for the regularization of inverse problems is considered. For selecting the regularization parameter therein, we propose the heuristic quasi-optimali…

math.AP2017★ 2 cited

Group classification of a class of generalized nonlinear Kolmogorov equations and exact solutions

Inna Rassokha, Mykola Serov, Stanislav Spichak +1

A class of generalized nonlinear Kolmogorov equations is investigated. We present the group classification of Lie symmetries of the class with respect to the group of equivalence t…

cs.LG2017★ 7 cited

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes

Yuriy Kochura, Sergii Stirenko, Oleg Alienin +2

The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared. Their c…

cs.LG2017★ 18 cited

Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions

Yuriy Kochura, Sergii Stirenko, Yuri Gordienko

Deep learning (deep structured learning, hierarchi- cal learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-…

cs.DC2017★ 20 cited

Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks

Vladyslav Taran, Oleg Alienin, Sergii Stirenko +2

Recently, due to rapid development of information and communication technologies, the data are created and consumed in the avalanche way. Distributed computing create preconditions…

cs.HC2017★ 4 cited

Automatized Generation of Alphabets of Symbols

Serhii Hamotskyi, Anis Rojbi, Sergii Stirenko +1

In this paper, we discuss the generation of symbols (and alphabets) based on specific user requirements (medium, priorities, type of information that needs to be conveyed). A frame…

physics.comp-ph2017★ 18 cited

Sonic metamaterials: reflection on the role of topology on dispersion surface morphology

V. N. Gorshkov, N. Navadeh, P. Sareh +2

Investigating dispersion surface morphology of sonic metamaterials is crucial in providing information on related phenomena as inertial coupling, acoustic transparency, polarisatio…

cond-mat.mtrl-sci2017★ 6 cited

Local moment formation and magnetic coupling of Mn guest atoms in BiSe: a low-temperature ferromagnetic resonance study

D. Savchenko, R. Tarasenko, M. Vališka +7

We compare the magnetic and electronic configuration of single Mn atoms in molecular beam epitaxy (MBE) grown BiSe thin films, focusing on electron paramagnetic (ferromagne…

cond-mat.mtrl-sci2017

Fixed Volume Effect on Polar Properties and Phase Diagrams of Ferroelectric Semi-ellipsoidal Nanoparticles

Victoria V. Khist, Anna N. Morozovska, Maxim V. Silibin +5

For advanced applications in modern industry it is very important to reduce the volume of ferroelectric nanoparticles without serious deterioration of their polar properties. In ma…

cs.LG2017★ 28 cited

Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes

Yuriy Kochura, Sergii Stirenko, Anis Rojbi +3

The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared. Their c…

cond-mat.mes-hall2017★ 9 cited

Cross effect of magnetic field and charge current on antiferromagnetic dynamics

Yuta Yamane, Olena Gomonay, Hristo Velkov +1

We theoretically examine a cross effect of magnetic field and charge current on antiferromagnetic domain wall dynamics. Since antiferromagnetic materials are largely insensitive to…

cs.CY2017★ 38 cited

Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the Basis of Cloud-Fog-Dew Computing Paradigm

Yu. Gordienko, S. Stirenko, O. Alienin +9

The concept of the augmented coaching ecosystem for non-obtrusive adaptive personalized elderly care is proposed on the basis of the integration of new and available ICT approaches…

nucl-th2017

Nucleon momentum distributions in He and three-body interactions

S. V. Bekh, A. P. Kobushkin, E. A. Strokovsky

We calculate momentum distributions of neutrons and protons in He in the framework of a model which includes 3N interactions together with 2N interactions. It is shown that con…

cs.HC2017★ 17 cited

User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities

S. Stirenko, Yu. Gordienko, T. Shemsedinov +6

The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is p…

math.OC2017

Solutions for Zero-Sum Two-Player Games with Noncompact Decision Sets and Unbounded Payoffs

Eugene A. Feinberg, Pavlo O. Kasyanov, Michael Z. Zgurovsky

This paper provides sufficient conditions for the existence of solutions for two-person zero-sum games with inf/sup-compact payoff functions and with possibly noncompact decision s…

math.PR2017

Moment conditions in strong laws of large numbers for multiple sums and random measures

Oleg Klesov, Ilya Molchanov

The validity of the strong law of large numbers for multiple sums of independent identically distributed random variables , , with -dimensional indices is eq…

cond-mat.mes-hall2017★ 149 cited

Concepts of antiferromagnetic spintronics

O. Gomonay, T. Jungwirth, J. Sinova

Antiferromagnetic spintronics is an emerging research field whose focus is on the electrical and optical control of the antiferromagnetic order parameter and its utility in informa…

cond-mat.mtrl-sci2017★ 1 cited

Thermally activated processes of the phase composition and structure formation of the nanoscaled Co-Sb films

R. A. Shkarban, Ya. S. Peresunko, E. P. Pavlova +3

It is investigated the formation of the phase composition and structure in the nanoscaled CoSbx (30 nm) films deposited by the method of molecular-beam epitaxy on the substrates of…

cond-mat.mtrl-sci2017★ 21 cited

Effect of single-particle magnetostriction on the shear modulus of compliant magnetoactive elastomers

Viktor Kalita, Andrew Snarskii, Mikhail Shamonin +1

The influence of an external magnetic field on the static shear strain and the effective shear modulus of a magnetoactive elastomer (MAE) is studied theoretically in the framework…

math.OC2017★ 65 cited

The (logarithmic) least squares optimality of the arithmetic (geometric) mean of weight vectors calculated from all spanning trees for incomplete additive (multiplicative) pairwise comparison matrices

Sándor Bozóki, Vitaliy Tsyganok

Complete and incomplete additive/multiplicative pairwise comparison matrices are applied in preference modelling, multi-attribute decision making and ranking. The equivalence of tw…