ElAr :: Перегляд за автором "Zeleniy, O."

Перегляд за автором "Zeleniy, O."

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Analysis of Trade Trends in Global Non-Precious Metal Markets
(IJAMR, 2022) Zeleniy, O.; Lyashenko, V.; Shapran, O.
International trade occupies one of the key places in the system of economic relations, the development of various sectors of the economy and society. This is achieved through the organization and functioning of various types and types of markets t hat allow us to implement and maintain the necessary economic relations. This, ultimately, determines the feasibility of conducting ongoing research aimed at analyzing trade trends in world markets. Such an analysis can be carried out both from the point of view of the development of market relations in general, and taking into account the specifics of the functioning of individual market segments. Among the many segments of the world market, we single out the base metals market. The base metal market is a part of the commodity market where primary goods are traded. This makes this market special and attracts close attention. We consider the statistical characteristics of futures for various types of non-precious metals; we present the dynamics of such quotes. To analyze the mutual influence of individual quotes on futures, wavelet coherence estimates are used in the work. The paper presents a number of graphs and diagrams that help to understand the logic of the study, the reliability of the results.
Brief review of the mathematical models for analyzing and forecasting transmission of COVID-19
(JCR, 2020) Mustafa, Syed Khalid; Ahmad, M. Ayaz; Sotnik, S.; Zeleniy, O.; Lyashenko, V.; Alzahrani, Othman
Coronaviruses are one of the dangerous sources of human infection. To counter such a source, it is important to obtain reliable statistics. It is also necessary to carry out appropriate data analysis, which helps to find solutions to various issues. To do this, use data analysis and forecasting models. Thus, this work is devoted to the review of mathematical models for the analysis and prediction of the distribution of COVID-19. Such a review showed that there are models of different directions. This allows you to make more effective decisions.
Color space image as a factor in the choice of its processing technology
(Boston, USA, 2021) Deineko, Zh.; Zeleniy, O.; Lyashenko, V.; Tabakova, I.
Information plays an important role in the modern world. Information becomes the basis for the functioning of various spheres of human activity, the development of production and the economy. Information takes the lead when everything goes digital.
Color-aware digital image segmentation procedure as a tool for studying fatty liver disease
(Journal of Universal Science Research, 2023) Boboyorov Sardor Uchqun o‘g‘li; Sinelnikova, T.; Zeleniy, O.; Lyashenko, V.
Digital medical images are one of the sources of information for timely prevention of possible diseases. In this case, color medical images arewidely used. One example of such use is in the diagnosis of fatty liver disease. Based on this, the paper considers the possibility of studying fatty liver disease based on digital image segmentation taking into account color. The results of digital processing are presented for real images depicting lesions of fatty liver disease.
Image Processing as an Analysis Tool in Medical Research
(IJAAR, 2022) Zeleniy, O.; Rudenko, D.; Lyubchenko, V.; Lyashenko, V.
The process of research is an important part of the general ideology of knowledge, understanding of the processes that occur at the macro- and micro- levels. Therefore, various methods, procedures, and approaches are used here. Methods and approaches for image analysis are tools for understanding the surrounding world. This tool of knowledge is widely used in various fields of research, practical applications. Image processing and analysis makes it possible to visualize areas of the real world that are difficult to access or invisible to humans. Image processing can also improve the visualization of real world objects, understand the mechanisms of their interaction. One of these priority areas of research is medicine. In this case, we can see the variou s processes that occur in the body, identify the foci of diseases, understand the mechanism of the course of diseases, and diagnose various diseases. For these purposes, various methods and approaches for image processing and analysis are used: image quality improvement, noise removal, contour extraction for different objects in the image, image segmentation, identification of potential objects, object recognition. The use of these methods and approaches for the analysis of medical images and the sequence of u sing these methods depends on the problem that needs to be solved in the process of analyzing the original image. The paper considers some approaches to processing medical images. The features of the use and the expediency of applying certain approaches to image processing are noted. The results obtained are illustrated on real medical images. This allows us to better understand the logic of this study.
Model for Predictive Analysis of International Trade Based on the Dynamics of Stock Indices (Example of Data from the USA, Canada and UK)
(IJAAR, 2022) Rudenko, D.; Serhiienko, O.; Zeleniy, O.; Lyashenko, V.
Forecasting is one of the tools for assessing the functioning and development of processes, phenomena, objects. This tool has found its application in all areas of research. Among these areas of research, one should single out the direction that i s associated with the economy. This is important because such studies help to assess the level of economic development, the welfare of mankind, to find ways for the further functioning and development of various processes, phenomena, objects. To solve the t asks set, various models are used that help to implement a certain forecast scheme. At the same time, the construction of such models involves the implementation of the corresponding stages of modeling. Such modeling steps help determine the type of the final model and implement the required predictive model. Therefore, we pay special attention to the individual stages of predictive modeling.The efficiency of building a predictive model is also determined by the applied problem that needs to be solved in the modeling process. In this paper, we consider the elements of a predictive model for the analysis of international trade. To do this, we use data on the dynamics of stock indices. In particular, we use the dynamics of stock indices, which describe the activities of banking institutions. To build individual elements of the predictive model, we use the apparatus of wavelet theory. Among the tools of wavelet theory, we use wavelet coherence. We also propose an approach for comparing different estimates of wavelet coherence. This approach is based on comparing the corresponding wavelet coherence estimates and visualizing the results. This allows you to better understand the mutual dynamics of stock indices and evaluate the dynamics of international trade. The paper presents various graphs and diagrams that help to understand the logic of the study and the results obtained.
Some Features of Route Planning as the Basis in a Mobile Robot
(WARSE, 2020) Sotnik, S.; Mustafa, Syed Khalid; Ahmad, M. Ayaz; Lyashenko, V.; Zeleniy, O.
A mobile robot is a mechatronic system that can facilitate human labor. These systems are widely used in various fields of production. A key element of a mobile robot is its navigation system. For the successful use of the navigation system of the mobile robot and its subsequent efficient operation, it is necessary to plan the route. This will avoid errors in the movement of the robot, solve the tasks. Among the main tasks of route planning for a mobile robot, as a rule, are distinguished: building a map of the robot’s motion environment, and adjusting the robot’s motion path. The article discusses the main points of such a generalization, provides algorithms for solving specific problems.
Specifics of Using Image Processing Techniques for Blood Smear Analysis
(AMRS, 2020) Lyashenko, V.; Sinelnikova, T.; Zeleniy, O.; Asaad Mohammed Ahmed Babker
The process of medical diagnosis is an important stage in the study of human health. One of the directions of such diagnostics is the analysis of images of blood smears. In doing so, it is important to use different methods and analysis tools for image processing. It is also important to consider the specificity of blood smear imaging. The paper discusses various methods for analyzing blood smear images. The features of the application of the image processing technique for the analysis of a blood smear are highlighted. The results of processing blood smear images are presented.
Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease
(WARSE, 2020) M. Ayaz Ahmad; Syed Khalid Mustafa; Zeleniy, O.; Lyashenko, V.
A study was conducted on the relationship between different markers in the diagnosis of kidney disease. As such markers were considered: glomerular filtration rate, renal arterial blood flow velocity, resistive renal artery index. The relationship between the markers was investigated taking into account the return and body mass index of patients. This allows you to identify various risk groups. We used wavelet coherence to explain the results of the relationship between markers and visualize the research process. The expediency of using the wavelet methodology for conducting intellectual diagnostics for the detection of kidney diseases is shown. As a prevailing preference in the study of markers for the diagnosis of kidney disease, a body mass index was determined. The results of various experiments are presented.
Wavelet ideology as a universal tool for data processing and analysis: some application examples
(IJARW Journals, 2021-09-28) Lyashenko, V.; Deineko, Zh.; Zeleniy, O.; Tabakova, I.
Data analysis is an important stage in the study of various processes, phenomena, objects. These data can have a different physical nature and different structure. Therefore, it is important to have a set of versatile tools for the appropriate analysis. We single out wavelet analysis among such tools. The paper shows various directions for using wavelet analysis, shows a formalized description of such directions. Specific examples are also given for each direction of wavelet analysis.

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