Multiscale approach of retinal blood vessels segmentation based on vessels segmentation with different scales

In this work, the authors developed retinal blood vessels segmentation approach using contrast limited adaptive histogram equalization, morphological filtering, k-means clustering, matched filtering for thin and thick vessels selection. The authors also applied matched filtering for thin vessels selection using the kernels which were built in order to determine the existence of line segments with different length and orientatio

Assistance in creation of project solutions by means of system-object determinant analysis

This paper contains a description of the original system-object deter-minant analysis (SODA) which allows you to formalize the process of developing complex technical system

The Use of description logic in the system-objective modeling of organizational knowledge

This article provides a brief description of the "Union-Function-Object" systemobject approach, proposes a new way to formalize the "Union-Function-Object" threeelement construction (UFO-element) using descriptive logic (DL). Considered the possibility of using DL for representing systems in an unambiguous, formalized for

Formalization of conceptual classification models of knowledge

The paper explores the information (conceptual) systems in terms of the hierarchies of conceptual and material systems. Such systems are an objectoriented from the system-object approach side. The conceptual systems of which are external systems (systems-classes) that determine the properties of specific objects and objects are material or internal systems (facts systems) that implement real interactions. The paper also considers the results of a formal description of the hierarchy of conceptual systems. It takes into account their systemic relationships using a description logic for formalizing certain states of the system-object approac

An analysis of the role and structure of information (conceptual) systems

The nature of information (conceptual) systems is studied using a system-object approach. The conclusion is made that the hierarchies of conceptual and material systems are an object-oriented system, whose conceptual systems are external systems (class systems) that determine the properties of specific objects, and objects-material or internal systems (systems-phenomena) that perform real interaction

Formal-semantic normative system for graphic-analytical modelling

A formal-semantic normative system (FSNS) is presented in this paper. The FSNS allows us to describe the links and functional units of typical information processes. The possibility of using the FSNS to automate graphical-analytical modelling and machine learning is show

A system-object approach to determinant analysis of complex systems

This article describes the possibility of analyzing systems using the system-object approach. The concept of determinant analysis of systems based on this approach is introduced, which allows one to consider the detailed description of a system as the gradual refinement of its propertie

Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network

The paper shows an approach to solving the problem of classifying X-ray images of the chest part of a healthy person and with the presence of COVID-19. The method is a trainable convolutional neural network. The results obtained allow improving existing approaches and methods in the field of classification of medical images with COVID-19, as well as obtaining an auxiliary mechanism for detecting COVID-19 in patient

A computer system for the leukocytes classification in medical images

The paper is about the development of a computer system for the white blood cells images classification. Solving the leukocytes classification task makes it possible to diagnose not only the blood diseases, but also a wide range of other diseases, as well as to evaluate the overall state of a person's health. Modern leukocytes classification methods have a fairly large number of shortcomings, which make a problem of finding the most effective method as a tool to solve this task. In our computer system we use the method based on using a trained convolutional neural network as a binary classifier for the leukocytes classificatio

Method for optimizing the shell of open pit mines based on parallel computing

One of the main stages in design of mineral development process is solution of finding optimal open pit problem. It is necessary to take into account the spatial distribution of mineral components and the allowable slope angles of the sides during solving this problem. The basis for performing calculations to optimize the extraction of reserves is a digital block model of the mineral deposit. The larger and more accurate block model of the ore deposit requires more computationally complex calculation process. In this regard, using of parallel computing in this area is very relevant. The importance of solving this problem determined by the need to have an accurate model of the open pit at various stages of its developmen