Irina Astrakhantseva

Irina Astrakhantseva
  • доктор экономических наук
  • Head of Department at Ivanovo State University of Chemistry and Technology

About

29
Publications
3,033
Reads
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31
Citations
Current institution
Ivanovo State University of Chemistry and Technology
Current position
  • Head of Department

Publications

Publications (29)
Book
Full-text available
Scientific research is the result of the author's scientific work and his practical experience as a professional appraiser and forensic expert. The book structure consists of two independent scientific author's studies. They are dedicated to the improvement and development of financial analysis techniques, business and real estate valuation. A feat...
Article
Full-text available
The identification of a prospective economic effect is required to encourage the exogenous social responsibility of a commercial bank. The purpose of this study is to establish a set of economic and administrative factors, determining the feasibility of encouragement of the social responsibility of a commercial bank. Coefficient analysis is used to...
Article
Full-text available
The scientific research study is about the approach to crypto assets in property law. The cryptocurrency, possessing the signs of many civil rights, at the same time does not belong to any of them and does not correspond with anyone in a complete way. This is due to the uniqueness of cryptocurrency as a phenomenon itself. Cryptocurrencies can also...
Article
Full-text available
The scientific research study is about financial methodology analysis improving in the framework of forensic economic examination. The objective bankruptcy date is one of the issues within the forensic examination. The authors propose to supplement the classical financial analysis with a special section, which analyzes transactions for compliance w...
Article
Full-text available
The aim of the article is to analyze inflation factors and their influence on the consumer price index in the regions. The article discusses the existing mathematical models for the forecasting of the regional inflation rate as an important national measure. Advantages, disadvantages and application fields of these models are presented. The appropr...
Article
Industrial combustion of fuel leads to pollution of the environment with flue gases containing oxides of sulfur, carbon, and nitrogen, which belong to toxic substances. One of the methods of neutralizing exhaust gases is their chemical purification using ozone, which allows accelerating the oxidation reactions of oxides to easily recyclable compoun...
Article
Tube-type devices, including chemical reactors, are often key components of the manufacturing process and significantly influence its technical and economic indicators. Therefore, creating new, higher-quality designs of such reactors and finding optimal operating regimes are important scientific research tasks. Addressing advanced problems always i...
Article
Tubular reactors are the main type of equipment in many production processes. At the same time, their characteristics largely determine the production technical and economic indicators. Therefore, the design and development of more advanced reactor designs and the determination of effective operating parameters can be considered important research...
Article
The article presents a detailed analysis of the possibility of forecasting regional inflation using recurrent neural networks (RNN), in particular, LSTM modules, and convolutional neural networks (CNN). The study begins with a description of the methods of measuring inflation and the principles of operation of the selected types of machine learning...
Article
For the mathematical description of hydrodynamic conditions in industrial equipment, idealized models are usually used. Upon receipt, a number of simplifying assumptions are made, which, on the one hand, facilitate the use, and on the other hand, the Appearance of the adequacy of the model. All typical models of flow structures are deterministic an...
Article
In this paper, a hybrid machine learning model was developed for predicting regional inflation based on gradient boosting and random forest. The consumer price index was used as a method of measuring inflation, which measures the ratio of the basket value in the reporting and base periods. One of the key features and scientific novelty of the work...
Book
The textbook discusses general issues of system modeling, analytical, empirical and simulation approaches to modeling. Typical mathematical schemes used in the analytical approach, methods and tools of simulation modeling of systems are given. Attention is also paid to network and agent-based alternative approaches to modeling. Meets the requiremen...
Article
Full-text available
Heat transfer processes are the basis of the most technological processes of the energy sector. Thus, the development of modern approaches for computer simulation and visualization of the phenomena of thermal energy transfer in various objects are of great importance and is relevant. Classical models in the form of differential equations of various...
Article
Full-text available
The acidity characteristics of zeolite are highly significant, and understanding the acidic properties is essential for developing new types of zeolite catalysts. Zeolite membranes were synthesized using metakaolin, sodium hydroxide, and alumina with a molar ratio of 6Al2Si2O7:12NaOH:2Al2O3 as the starting ingredients. X-ray diffraction, scanning e...
Preprint
Full-text available
The article is devoted to the issues of using discrete simulation models for modeling some basic technological processes. In the scientific work, models in the form of multi-agent systems have been investigated, which allow us to consider a continuous environment as a set of interacting elements (agents), the behavior of which obeys local functions...
Preprint
Full-text available
Dynamic memory management requires special attention in programming. It should be fast and secure at the same time. This paper proposes a new randomized dynamic memory management algorithm designed to meet these requirements. Randomization is a key feature intended to protect applications from "use-after-free" or similar attacks. At the same time,...
Article
Full-text available
Dynamic memory management requires special attention in programming. It should be fast and secure at the same time. This paper proposes a new randomized dynamic memory management algorithm designed to meet these requirements. Randomization is a key feature intended to protect applications from “use-after-free” or similar attacks. At the same time,...
Article
Full-text available
The article is devoted to the issues of using discrete simulation models for modeling some basic technological processes. In the scientific work, models in the form of multi-agent systems have been investigated, which allow us to consider a continuous environment as a set of interacting elements (agents), the behavior of which obeys local functions...
Article
Full-text available
This article reveals the method of the property classification by its location relative to highways using transfer learning approach. Solving this problem is crucial for non-residential real estate market value assessment automation in the course of market analysis, pre-trial appraisal and other aspects of making managerial decisions in the field o...
Article
Full-text available
The article focuses on the relevance of establishing legal norms for virtual currency, which is currently working in the gray zone. The article substantiates why cryptocurrency was referred to other property in the framework of civil law. The author suggests a definition of cryptocurrency to introduce it into legislation. Attributes of cryptocurren...
Article
Full-text available
The article is a continuation of the authors’ research on the method of establishing corrective coefficients when calculating the rent for land plots, the property for which is not delimited. Due to the absence of requirements in the legislation for the content of the expert opinion, the authors propose the content and structure of the economic exa...
Article
Full-text available
The article focuses on the relevance of establishing legal norms for virtual currency, which is currently working in the gray zone. The article substantiates why cryptocurrency was referred to other property in the framework of civil law. The issues of referring cryptocurrency to such objects of civil rights as monetary funds, currency values, secu...
Article
Full-text available
The article analyzes the factors of inflation and their impact on consumer price index in the regions of Russia. We consider the existing mathematical models that allow to forecast the rate of inflation as the most important macroeconomic indicator. The advantages, disadvantages, and applications of determined models are given in the article. The a...
Article
Full-text available
The authors propose a methodology to calculate corrective coefficients in the process of calculating rental fees for land use. Based on the analysis carried out, a list of factors affecting the value of the coefficients is presented: general economic and political factors, factors of the municipality’s socio-economic status, factors of profitabilit...

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