Hybrid classic-quantum neural networks for image classification

Y Trochun, S Stirenko, O Rokovyi… - 2021 11th IEEE …, 2021 - ieeexplore.ieee.org
In the last decade, quantum computing (QC) has shown its great potential in advancing
research in many fields. Here we introduce a new quantum-classical neural network, by …

Using clustering analysis for determination of scattering kernels in X-ray imaging

A Danyk, S Radchenko, A Netreba… - 2019 10th IEEE …, 2019 - ieeexplore.ieee.org
Method for obtaining the optimal number of convolution (superposition) kernels in
algorithmic scatter correction for X-ray imaging has been tested using different mathematical …

Impact of hybrid neural network structure on performance of multiclass classification

Y Trochun, E Pavlov, S Stirenko… - IEEE EUROCON 2021 …, 2021 - ieeexplore.ieee.org
This article describes hybrid convolutional neural network that uses one quantum circuit for
image classification. The different configurations of the hybrid neural network with the …

Distributed system for sampling and analysis of electroencephalograms

O Sudakov, G Kriukova, R Natarov… - 2017 9th IEEE …, 2017 - ieeexplore.ieee.org
Distributed system for sampling and analysis of electroencephalograms is proposed and
implemented in alpha state. The system is based on the previously developed database for …

Hurricane damage detection by classic and hybrid classic-quantum neural networks

Y Trochun, Z Wang, O Rokovyi, G Peng… - … on Space-Air …, 2021 - ieeexplore.ieee.org
This article describes a deep hybrid convolutional neural network (HNN) that uses one
quantum device for binary image classification. The quantum device is a Ry quantum circuit …

Asymmetric structure and domain binding interfaces of human tyrosyl‐tRNA synthetase studied by molecular dynamics simulations

OV Savytskyi, SO Yesylevskyy… - Journal of Molecular …, 2013 - Wiley Online Library
Human tyrosyl‐tRNA synthetase (HsTyrRS) is composed of two structural modules: N‐
terminal catalytic core and an EMAP II‐like C‐terminal domain. The structures of these …

Structural states of the flexible catalytic loop of M. tuberculosis tyrosyl-tRNA synthetase in different enzyme–substrate complexes

VV Mykuliak, AI Dragan, AI Kornelyuk - European Biophysics Journal, 2014 - Springer
Tyrosyl-tRNA synthetase from Mycobacterium tuberculosis (Mt TyrRS) is an enzyme that
belongs to class I of aminoacyl-tRNA synthetases, which catalyze the attachment of l …

Computational modeling and molecular dynamics simulations of mammalian cytoplasmic tyrosyl-tRNA synthetase and its complexes with substrates

VO Kravchuk, OV Savytskyi, KO Odynets… - Journal of …, 2017 - Taylor & Francis
Cytoplasmic tyrosyl-tRNA synthetase (TyrRS) is one of the key enzymes of protein
biosynthesis. TyrRSs of pathogenic organisms have gained attention as potential targets for …

Realistic mathematical model of passive infrared sensor's signal

O Sudakov, A Malenko - 2019 10th IEEE International …, 2019 - ieeexplore.ieee.org
Passive infrared sensors (PIR) are low power and cost effective devices for motion detection.
In this paper we propose a realistic mathematical model for calculation of PIR signal for …

The mechanisms of substrates interaction with the active site of Mycobacterium tuberculosis tyrosyl-tRNA synthetase studied by molecular dynamics simulations

VV Mykuliak, AI Kornelyuk - Вiopolymers and Cell, 2014 - dspace.nbuv.gov.ua
Aim. To study the mechanisms of substrates interaction with the active site of Mycobacterium
tuberculosis tyrosyl-tRNA synthetase (MtTyrRS). Methods. Complexes of MtTyrRS with …