прогнозування

The Feasibility of Using Reccurent Neural Networks as a Tool for Improving the Scrum Sprint Planning Process

The study substantiates the feasibility of using machine learning technology to improve the iteration planning process in IT projects implemented using the Scrum methodology. The problem of productivity planning in teams is set. The subject and object of the research are formulated. The expected scientific novelty and practical significance of the research results are described. A range of potential issues related to task planning in IT projects, particularly the accuracy of team productivity forecasting, is considered.

Прогнозування волатильності валютного ринку за нелінійними моделями

Оцінено три структури моделей динаміки умовної дисперсії, які використано для однокрокового прогнозування на навчальній та перевіряльній вибірках. Для оцінювання параметрів моделей використано метод Монте-Карло для марковських ланцюгів. Оцінки прогнозів волатильності, обчислені на основі МСВ та моделі Е-УАРУГ, демонструють схожі результати, що підтверджує коректність використаного підходу загалом.

Machine Learning Methods to Increase the Energy Efficiency of Buildings

Predicting a building’s energy consumption plays an important role as it can help assess its energy efficiency, identify and diagnose energy system faults, and reduce costs and improve climate impact. An analysis of current research in the field of ensuring the energy efficiency of buildings, in particular, their energy assessment, considering the types of models under consideration, was carried out.

MODELING AND FORECASTING OF THE STATE OF THE ENVIRONMENT IN THE WASTE MANAGEMENT AND MANAGEMENT SYSTEM CONSUMPTION OF KREMENCHUK URBAN TERRITORIAL COMMUNITY IN WARTIM

We consider waste management and management as an area of ​​ecological safety. As a result of the study, the ecological aspects of this branch of activity were analyzed on the example of the operation of the operating MSW landfill in the city of Kremenchuk. The prospective direction of the field of waste management in the region, as well as the state of its financing, are taken into account. Such dangerous factors in the operation of the municipal landfill for the environment as: pollution of groundwater and open dumps of the landfill have been identified.

Information system for forecasting sales of building materials

The work purpose is information system design and development. The study object is sales forecasting system process for building materials assortment. The study subject is forecasting sales system development methods and means for building materials assortment. the process of the system of forecasting sales of the range of construction materials.

Actual questions of informative and prognostication providing in state administration system in Ukraine

In the article analysed informative and prognostication providing of state administration. Was analysed basic problems informative and prognostication providing of state administration and possible ways of their decision.

Forecasting indicators of sustainable development of Ukraine

The article proposes approaches and indicators for assessing the effectiveness of state regulation of sustainable development. The indicators of sustainable development of Ukraine according to world ratings are investigated. Forecast of indicators of sustainable development for the next three years is carried out. The influence of each individual indicator on sustainable development of Ukraine is determined.

Information technology for time series forecasting by the method of the forecast scheme synthesis

The study is devoted to the development of information technology for forecasting based on time series. It has been found that it is important to develop new models and forecasting methods to improve the quality of the forecast. Information technology is based on the evolutionary method of synthesis of the forecast scheme grounded on basic forecast models. The selected method allows you to consider any number of predictive models that may belong to different classes.

TREND EXTRAPOLATION METHOD FOR QUALITATIVE PROGNOSIS OF THE GLOBAL CYBERSECURITY INDEX IN UKRAINE

In the paper, the research problem of cybersecurity in Ukraine and constituent elements of the cybersecurity global index were considered. The study object is the methods of predicting the indicator of the cybersecurity global index in Ukraine based on the trend extrapolation methods using one dynamic sequence. The purpose of the work is to apply predicting methods to build a prediction of the global cybersecurity index in Ukraine.

Features of the informative providing of operatively-search prognostication in counteraction to the crimes in the field of appeal of narcotic facilities

A concept and maintenance of the informative providing of operatively-search
prognostication are exposed in the article. The features of the informative providing of
operatively-search prognostication are certain in counteraction to the crimes in the field of
appeal of narcotic facilities. Basic factors are outlined that influence on the process of
operatively-search prognostication in counteraction to the crimes in the field of appeal of
narcotic facilities.