класифікація

The problem of constructing a model of logical classification trees based on a limited method of selecting elementary features for geological data arrays is considered. A method for approximating an array of real data with a set of elementary features with a fixed criterion for stopping the branching procedure at the stage of constructing a classification tree is proposed. This approach allows to ensure the necessary accuracy of the model, reduce its structural complexity, and achieve the necessary performance indicators.

The article analyzes the Anglo-American legal system. The theoretical and practical significance of the scientific analysis of legal systems, in particular the Anglo-American one, is analyzed. The role of legal systems, their classification, the main features of the modern Anglo-American legal family are studied, its main problems are determined. The classification of legal systems into national and supranational aims to reveal the nature of this entity, which is not closed within one state.

Purpose. The goal of this work was to develop and study the methods of texture classification of SEM images of micro surfaces of objects based on the statistical and spectral characteristics of texture fragments, as well as a comparative analysis of segmentation methods of SEM images. Methods. The determination of the texture characteristics was based on statistical moments computed by the brightness histogram of a SEM- image or its region. The spectral measures of texture of SEM image were based on properties of the Fourier spectrum.

Ensuring an effective state policy in the field of creation and functioning of the Cyber-Physical Systems (further – CPS) in Ukraine requires a detailed study of the current state and analysis of trends in the development of CPS, their types in the world in the field of agro-industry, the peculiarities of public governance mechanisms in the leading countries of the world and especially in the EU, improvement of regulatory and legal support on CPS in Ukraine, adopting national and international standards as national, on different requirements and technical characteristics necessary for the f

Purpose. The aim of this research is monitoring of coniferous forests of Tukhlya forestry in Precarpathian region using medium and high resolution satellite images and images obtained from an unmanned aerial vehicle (UAV). Methodology. To monitor the condition of forests of Tukhlya Forestry, a technique based on using satellite images with different spectral characteristics and resolutions, images obtained from UAVs and, accordingly, their processing by different methods, was used.

Розглянуто критерії поділу правових спорів. Наведено і проаналізовано ряд
існуючих в юридичній літературі класифікацій правових спорів. Запропоновано
вважати поділ правових спорів на приватно-правові та публічно-правові як основний.

Розглянуто проблему теоретико-правового виокремлення обов’язків пацієнта. На
основі аналізу законодавства України та зарубіжних країн, позитивної право реаліза-
ційної практики виокремлено перелік обов’язків пацієнта. Сформульовано теоретико-
правову класифікацію обов’язків пацієнта за рівнем юридичного закріплення

Проаналізовано ринок програмного забезпечення медичних систем та розроблено їх класифікацію за сферою застосування. З’ясовано, що інтелектуальні програми підтримки прийняття рішень, які допомагають лікарям в задачах вибору найоптимальнішого варіанта призначення лікування, створюють простір для подальшого вивчення та дослідження моделей цих систем.

The  use  of  state-of-the-art  technologies  for  the  standardization  of  work  related  to  environmental monitoring,  technological  processes,  urban  and  rural  infrastructures  requires  an  entire  system  of metrological  supervision. The drone is an unmanned aerial vehicle. The purpose of such systems of autonomous action, intended for flight and their performance of some operations can be potentially dangerous to humans. With the use of appropriate electronic equipment one can determine the level of air pollution and conduct the research.

The article describes the research of the peculiarities of methods and algorithms for the recognition of mathematical expressions. The possibility of simultaneous execution of structural analysis and classification of characters is investigated. The process of classification of the symbols and construction of the corresponding system, based on methods of machine learning, is described. The developed iterative algorithm is implemented in the design of the intelligent information system for the recognition of mathematical expressions.