ЮК

Юрий Крак

Taras Shevchenko National University of Kyiv

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Olexander Barmak

Khmelnytskyi National University

Eduard Manziuk

Khmelnytskyi National University

Olexander Mazurets

Khmelnytskyi National University

Pavlo Radiuk

Khmelnytskyi National University

Natalya Denissova

D. Serikbayev East Kazakhstan State Technical University

Veda Kasianiuk

Taras Shevchenko National University of Kyiv

Iu. G. Kryvonos

V.M. Glushkov Institute of Cybernetics

Anatolii Kulias

National Academy of Sciences of Ukraine

Vladyslav Kuznetsov

V.M. Glushkov Institute of Cybernetics

ОС

Олег Стеля

Taras Shevchenko National University of Kyiv

Cooperative Institutions

V.M. Glushkov Institute of Cybernetics

Taras Shevchenko National University of Kyiv

D. Serikbayev East Kazakhstan State Technical University

Khmelnytskyi National University

National Academy of Sciences of Ukraine

Vinnytsia National Technical University

Lviv Polytechnic National University

Lublin University of Technology

L. N. Gumilyov Eurasian National University

Al-Farabi Kazakh National University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Information Technology Augmentative and Alternative Communication Using Smart Mobile Devices

Journal of Mobile Multimedia (2021)

Юрий Крак Ruslan Bahrii Olexander Barmak

The article describes the information technology of alternative communication implemented by non-contact text entry using a limited number of simple dynamic gestures. Non-contact text entry technologies and motion tracking devices are analysed. A model of the human hand is proposed, which provides information on the position of the hand at each moment in time. Parameters sufficient for recognizing static and dynamic gestures are identified. The process of calculating the features of the various components of the movement that occur when showing dynamic hand gestures is considered. Common methods for selecting letters with non-contact text entry are analysed. To implement the user interaction interface, it is proposed to use a radial virtual keyboard with keys containing alphabetical letters grouped. A functional model and a model of human-computer interaction of non-contact text entry have been developed. It enabled to develop an easy-to-use software system for alternative communication, which is implemented by non-contact text entry using hand gestures. The developed software system provides a communication mechanism for people with disabilities.

Virtual keyboard

Interface (matter)

Text entry

10.13052/jmm1550-4646.1743

Cite

Citations (0)

Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning

Technologies (2025)

Oleksii Kovalchuk Olexander Barmak Pavlo Radiuk Liliana Klymenko Юрий Крак

Cardiovascular diseases are the leading cause of death globally, highlighting the need for accurate diagnostic tools. To address this issue, we introduce a novel approach for arrhythmia detection based on electrocardiogram (ECG) that incorporates explainable artificial intelligence through three key methods. First, we developed an enhanced R peak detection method that integrates domain-specific knowledge into the ECG, improving peak identification accuracy by accounting for the characteristic features of R peaks. Second, we proposed an arrhythmia classification method utilizing a modified convolutional neural network (CNN) architecture with additional convolutional and batch normalization layers. This model processes a triad of cardio cycles—the preceding, current, and following cycles—to capture temporal dependencies and hidden features related to arrhythmias. Third, we implemented an interpretation method that explains CNN’s decisions using clinically relevant features, making the results understandable to clinicians. Using the MIT-BIH database, our approach achieved an accuracy of 99.43%, with F1-scores approaching 100% for major arrhythmia classes. The integration of these methods enhances both the performance and transparency of arrhythmia detection systems.

Cardiac arrhythmia

10.3390/technologies13010034

Cite

Citations (0)

Predictive Text Typing System for the Ukrainian Language

Cybernetics and Systems Analysis (2017)

Iu. G. Kryvonos Юрий Крак Olexander Barmak R. O. Bagriy

Intellectualization

Ukrainian

Text corpus

10.1007/s10559-017-9951-5

Cite

Citations (16)

Application of Discrete Exterior Calculus Methods for the Path Planning of a Manipulator Performing Thermal Plasma Spraying of Coatings

Sensors (2025)

Assel Kussaiyn-Murat Albina Kadyroldina Albina Kadyroldina Maral Tolykbayeva Arailym Orazova

This paper presents a new method of path planning for an industrial robot manipulator that performs thermal plasma spraying of coatings. Path planning and automatic generation of the manipulator motion program are performed using preliminary 3D surface scanning data from a laser triangulation distance sensor installed on the same robot arm. The new path planning algorithm is based on constructing a function of the geodesic distance from the starting curve. A new method for constructing a geodesic distance function on a surface is proposed, based on the application of Discrete Exterior calculus methods, which is characterized by a high computational efficiency. The developed algorithms and their software implementation were experimentally tested with the robotic microplasma spraying of a protective coating on the surface of a jaw crusher plate, which was then successfully operated for crushing mineral-based raw materials.

10.3390/s25030708

Cite

Citations (0)

Visual Analytics-Based Method for Sentiment Analysis of COVID-19 Ukrainian Tweets

Lecture notes on data engineering and communications technologies (2022)

Oleksii Kovalchuk Vitalii Slobodzian ОЛЕНА СОБКО МАРИНА МОЛЧАНОВА Olexander Mazurets

Sentiment Analysis

Confusion matrix

Social media analytics

Pandemic

Disinformation

10.1007/978-3-031-16203-9_33

Cite

Citations (0)

Sieve sorting algorithm

Bulletin of Taras Shevchenko National University of Kyiv Series Physics and Mathematics (2018)

I.F. Koval Юрий Крак

The purpose of this paper is to present a sorting algorithm that allows parallel execution of comparison operations, analysing complexity and runtime of the algorithm, discussing about a virtual process for this algorithm, and the implementation of the C++ program that simulates such a virtual process. The following problems were solved in this paper: the algorithm of sieve sorting was proposed, the correctness of its execution were proved, the complexity and timing of this algorithm were investigated, the structure of the virtual process implementing this algorithm was proposed, the C ++ program that simulates such a virtual process was discussed. Program code may be taken from the authors. The improvement for the algorithm also provided and correctness of such improvement proved. In the process of problem solving the inconvenience of classical UNIX-like implementation for working with the mechanisms of piping and the processes creating was found out.

10.17721/1812-5409.2018/4.13

Cite

Citations (0)

Abusive Speech Detection Method for Ukrainian Language Used Recurrent Neural Network

Юрий Крак Olha Zalutska МАРИНА МОЛЧАНОВА Olexander Mazurets Ruslan Bahrii

Ukrainian

10.31110/colins/2024-3/002

Cite

Citations (1)

Method for Automated Test Tasks Creation for Educational Materials.

International Conference on Software Testing, Verification, and Validation (2020)

Olexander Barmak Olexander Mazurets Юрий Крак Anatolii Kulias

Source

Cite

Citations (1)

Model of the Facial Emotions Expressions Based on Grouping Classes of Feature Vectors

Advances in intelligent systems and computing (2020)

Olexander Barmak Oleg Kalyta Юрий Крак Eduard Manziuk Vladyslav Kuznetsov

Feature (linguistics)

Basis (linear algebra)

Emotional expression

10.1007/978-3-030-54215-3_5

Cite

Citations (1)

Information Technology for Entering Text Based on Tools of the Special Virtual Keyboard Mobile and Auxiliary Devices

Olexander Barmak Ruslan Bahrii Юрий Крак Veda Kasianiuk

Information technology for the realization of human communication using residual human capabilities, obtained by organizing text entry using mobile and auxiliary devices is proposed.The components of the proposed technology are described in detail: the method for entering text information to realize the possibility of introducing a limited number of controls and the method of predicting words that are most often encountered after words al-ready entered in the sentence.A generalized representation of the process of entering text is described with the aid of an ambiguous virtual keyboard and the representation of control signals for the selection of control elements.The approaches to finding the optimal distribution of the set of alphabet characters for different numbers of control signals are given.The method of word prediction is generalized and improved, the "back-off" statistical language model is used, and the approach to the formation of the training corpus of the spoken Ukrainian language is proposed.

Virtual keyboard

Text entry

10.32782/cmis/2353-33

Cite

Citations (1)