Yaroslav Vyklyuk

Yaroslav Vyklyuk
Lviv Polytechnic National University · Department of Artificial Intelligence

Full Professor, Dr.Sc

About

124
Publications
15,518
Reads
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246
Citations
Citations since 2016
34 Research Items
217 Citations
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
Additional affiliations
September 2008 - present
Bukovinian University
Position
  • Vice Rector
September 2008 - present
Bukovinian University
Position
  • Professor (Full)
Education
September 2008 - November 2011
Lviv Polytechnic National University
Field of study
  • Mathematical modeling

Publications

Publications (124)
Article
Full-text available
The present study analyses BRICS (Brazil, Russia, India, China, South Africa) capital markets in both time and frequency domain using wavelets. We used artificial neural network techniques to forecast the co-movement among BRICS capital markets. Wavelet coherence and clustering estimates uncover the interesting dynamics among the BRICS capital mark...
Article
Full-text available
In this paper, we described generation and performances of feedforward neural network models that could be used for a day ahead predictions of the daily maximum 1-h ozone concentration (1hO3) and 8-h average ozone concentration (8hO3) at one traffic and one background station in the urban area of Novi Sad, Serbia. The six meteorological variables f...
Article
Full-text available
All over the globe, outdoor sports events are highly affected by weather conditions that frequently influence the comfort of the players and sports fans, the duration, or even the cancelation of the event. To verify the range of weather-induced impacts on selected Major League Baseball events, this interdisciplinary study investigated the causes of...
Article
Full-text available
The impact of solar activity on environmental processes is di�cult to understand and complex for empirical modeling. This study aimed to establish forecast models of the meteorological conditions in the forest fire areas based on the solar activity parameters applying the neural networks approach. During July and August 2018, severe forest fires si...
Article
Full-text available
Currently, there is a global pandemic of COVID-19. To assess its prevalence, it is necessary to have adequate models that allow real-time modeling of the impact of various quarantine measures by the state. The SIR model, which is implemented using a multi-agent system based on mobile cellular automata, was improved. The paper suggests ways to impro...
Article
All over the globe, outdoor sports events are highly affected by weather conditions that frequently influence the comfort of the players and sports fans, the duration, or even the cancelation of the event. To verify the range of weather-induced impacts on selected Major League Baseball events, this interdisciplinary study investigated the causes of...
Article
Full-text available
This paper presents the method for calculation of the spatial distribution of the territory membership to the urbanized (TMU)—the value that puts the degree of suitability for development (tourism development) in accordance with each node of the grid of the study area within (0, 1). The method is based on a hybrid neural network training. It allows...
Article
Full-text available
The paper is devoted to the construction of an information system designed to monitor and model possible variants of coronary virus infection situations. Some of its prototypes are being built. The peculiarities of building promising information systems was analyzed, the purpose of which is to identify, localize the spread and complete elimination...
Chapter
Full-text available
The paper is devoted to the project of mobile information system for providing safety recommendations during the trip. The topicality of the research is caused by the rapid growth of tourism industry all over the world. According to the latest news, Ukrainian aviation companies had fewer plains then needed for 2018 summer vacation period. The deep...
Article
This study analyzes a neural networks model that forecast Sharpe ratio. The developed neural networks model is successful to predict the position of the investor who will be rewarded with extra risk premium on debt securities for the same level of portfolio risk or a greater risk premium than proportionate growth risk. The main purpose of the study...
Article
Full-text available
This research is devoted to the determination of the causal relationship between the flow of particles that are coming from the Sun and the hurricanes Irma, Jose, and Katia. To accomplish this, the lag correlation analysis was performed. High correlation coefficients confirmed a preliminary conclusion about the relationship between solar activities...
Chapter
Forest fires that occurred in Portugal on June 18, 2017 caused several dozens of human casualties. The cause of their emergence, as well as many others that occurred in Western Europe at the same time, remained unknown. The heliocentric hypothesis has indirectly been tested, according to which charged particles are a possible cause of forest fires....
Book
Traditional software products that are focused on stationary PCs remain as important means of information marketing tools and information technology support for businesses in the sphere of tourism. However, more and more tourists are using their mobile devices (smartphones, tablets) for planning their next trip, studying tourism destinations, booki...
Conference Paper
Full-text available
This publication describes the relevance and benefits of using intelligent information systems in medicine. The purpose of the paper is analysis of the functioning of the developed intelligent information system "Dental Laboratory", the means and methods for implementing its client part. For the development of the intelligent information system a p...
Conference Paper
Full-text available
This publication describes the relevance and benefits of using intelligent information systems in medicine. The purpose of the paper is analysis of the functioning of the developed intelligent information system "Dental Laboratory", the means and methods for implementing its client part. For the development of the intelligent information system a p...
Article
Full-text available
Forest fires that occurred in Portugal on 18 June 2017 caused several tens of human casualties. The cause of their emergence, as well as many others that occurred in Western Europe at the same time remained unknown. Taking into account consequences, including loss of human lives and endangerment of ecosystem sustainability, discovering of the fores...
Book
A group of researchers of the Lviv Polytechnic National University and “Bucovina University” are developing the project of intelligent information system to support and maintain the tourist at all stages of his journey – "Mobile Information Assistant of the Tourists" ("MIAT") The book is devoted to the problem of safety during tourist trips and fol...
Article
Full-text available
The authors suggested and described the architecture of the mobile tourist information system "Mobile information assistant of the tourist" (MIAT), that differs from existing analogs by the presence of user individual characteristics analysis module (character type, age, gender, education, personal preferences, etc.) in this work. The authors have...
Conference Paper
Full-text available
Forest fires that occurred in Portugal on June 18, 2017 caused several dozens of human casualties. The cause of their emergence, as well as many others that occurred in Western Europe at the same time, remained unknown. The heli-ocentric hypothesis has indirectly been tested, according to which charged particles are a possible cause of forest fires...
Article
Full-text available
This paper aims at presenting some methods of motivating, identifying and decreasing manipulation mechanisms in financial accounting data. Based on a research undertaken with Slovak environment, there has been produced a range of defining elements concerning the approach on creativity in accounting. Initially, we focused on the way business individ...
Article
Full-text available
In this article we proposed a simple neural network technique for estimating erythemal UV radiation in Novi Sad (Serbia) using available input parameters. The technique implies the use of one of two models depending on the availability of the input parameter: (i) neural network model 1 (NNM1) which uses global solar radiation, clearness index, clou...
Article
Full-text available
Solar flare X-ray energy can cause strong enhancements of the electron density in the Earth’s atmosphere. This intense solar radiation and activity can cause sudden ionospheric disturbances (SIDs) and further create ground telecommunication interferences, blackouts as well as some natural disasters and caused considerable material damage. The focus...
Article
This research presents improved results on modelling relationship between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the methods of Big Data, such as Adaptive Neuro Fuzzy Inference System (ANFIS), Parallel Calculations, Fractal analysis etc., are applied. The parameters of solar activi...
Conference Paper
Full-text available
У зв’язку з загостренням регiональних i глобальних екологiчних проблем виникла необхiднiсть iнформацiйного забезпечення сучасних екологiчних програм, зокрема тих, в яких основна увага придiляється ранньому оперативному виявленню епiцентрiв лiсових пожеж. Актуальнiсть дослiджень в цьому напрямi обумовлюється тим, що не дивлячись на зусилля вчених-пi...
Article
Full-text available
The work examines the potential causative link between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the method of correlation analysis is applied, but with the phase shift of 0–5 days. There are nine parameters which are observed as an input, and daily values of the hurricane phenomenon...
Article
Full-text available
Sustain growth of value added is one of the most important problem in many countries with transition economy. The article provides new evidence about determining the future dynamics of the economic activities with increasing value added. In this paper, we have used Hopfield’s neural network to clarify the strategies of social and economic developme...
Article
Sustain growth of value added is one of the most important problem in many countries with transition economy. The article provides new evidence about determining the future dynamics of the economic activities with increasing value added. In this paper, we have used Hopfield's neural network to clarify the strategies of social and economic developme...
Conference Paper
Full-text available
In the late 19th century, Jovan Cvijić laid the foundations for the scientific study of the hydrological evolution in the Timok basin and eastern Serbia. In terms of hydrology, eastern Serbia is very diverse and significant in Cvijić’s scientific research. He devoted great attention to the study of karst hydrography - underground waterways, wells,...
Article
Full-text available
The work examines the potential causative link between the flow of protons, i.e. temperature of the particles that are coming from the sun and forest fires in the USA. For determination of the degree of randomness for time series of input (temperature of protons) and output parameters (number of forest fires), the R/S analysis is conducted. The ana...
Article
Full-text available
In this research we search for a functional dependence between the occurrence of forest fires in the USA and the factors which characterize the solar activity. For this purpose we used several methods (R/S analysis, Hurst index) to establish potential links between the influx of some parameters from the sun and the occurrence of forest fires with l...
Article
Full-text available
In this research we search for a functional dependence between the occurrence of forest fires in the U.S.A. and the factors which characterize the solar activity. For this purpose we used several methods (R/S analysis, Hurst index) for establishing potential links between the influx of some parameters from the sun and the occurrence of forest fires...
Article
Full-text available
The segmentation method of forecasting social-economic processes (development of cities and settlements, green tourism, infrastructure, population segmentation by interests and activities, recreation) in accordance with the applied fractal crystals growth methods in the fuzzy attraction potential field was proposed. The impact of model empirical pa...
Article
Full-text available
An urgent necessity in socio-economic regional development strategy specification is being substantiated for the purpose of reconstructing and adjusting the TEA (Types of Economic Activity) structure, which is able to speed up the development of GRP (Gross Regional Product), GS (Gross Surplus) per person and steadily grade current interregional dif...
Article
Full-text available
Manuscript is devoted to the development of information system for tourist objects infrastructure growth and its practical implementation in form of information system using methods of fuzzy logic, theory of fractals and diffusion. Developed technology allows compute attractiveness of Carpathian region, structure, dynamics of the main tourist settl...
Article
Full-text available
The aim of this paper is to find the functional dependence between the occurrence of forest fires and the factors inherent to solar activity. It has been shown that the amplitude of number of forest fires in the USA for warm period 2004-2007 is not time dependent. The method of seasonality indices for seasonal components filter was used for the dec...
Article
Full-text available
Modeling method for forecasting of social-economic processes in accordance with methodology of applique fractal crystals growth methods in fuzzy attraction potential field was proposed. Impact of model empirical parameters on appearance of fractal structure fluctuations in the form of creating additional aggregation centers was investigated. Comput...
Article
Full-text available
Modeling method for forecasting of social-economic processes in accordance with methodology of applique fractal crystals growth methods in fuzzy attraction potential field was proposed. Impact of model empirical parameters on appearance of fractal structure fluctuations in the form of creating additional aggregation centers was investigated. Comput...
Article
Full-text available
In this paper we investigate and design the neural networks model for FOREX prediction based on the historical data movement of USD/EUR exchange rates. Unlike many other techniques of technical analysis which are based on price trends analysis, neural networks offer autocorrelation analysis and the estimation of possible errors in forecasting. This...
Article
The attributive and structural analogy is established between physical fractals and social economic systems. The algorithm of modeling the dynamics of social economic system development is synthesized. The mechanism of stagnation occurrence and system self-organization in the evolution process is studied. The functional analogy between the crystal...