Izvestiya of Saratov University.
ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)

Computer Sciences

Cognitive analysis of the structural stability for the knowledge-intensive sectors of the regional economy

The paper demonstrates the application of cognitive modeling methods to study the functioning problems of semi-structured complex economic systems. The aim of the research is to study the structural stability of the relationship between knowledge-intensive sectors and regional economy using cognitive analysis.

Assessment of the protection level of continuous production based on the Markov life cycle model

The article discusses the current level of development of automation technologies for continuous production, taking into account the compliance with the requirements of the fourth industrial revolution Industry 4.0. A new classification of the levels of industrial safety of production processes is proposed, taking into account the stages of the plan for the localization and elimination of emergency situations. The states of the life cycle of continuous production are determined, taking into account the proposed classification.

Specification of prognostic models and software implementation of a calculator for predicting a fatal outcome in a combined pelvic injury

Based on the regression, factor and discriminant analysis of the depersonalized data of 1082 patients with combined pelvic injuries, prognostic logit models were developed, including such factors as age, the variant of the mechanism of pelvic injury, results of the assessment of the degree of impaired consciousness and coma on the Glasgow scale, and total quantitative scores of damage severity for each of the three commonly used scales (Yu. N. Tsibin's, VPH-P (MT), ISS).

Skill-based clustering algorithm for online job advertisements

Clustering on the basis of categorical data is one of the challenging problems in data mining. The paper provides the clustering algorithm for job vacancies using information about the skills required. In the first step, the procedure of unstructured textual information standardization is proposed. The resulting procedures include stages of synonyms and general terms identification based on the combination of TF-IDF and $n$-grams approaches for translated and transliterated terms.

On the functional structure of the ergatic system of precedent management of a complex production facility

The problem of the formation of the functional structure of the ergatic control system of a complex (poorly formalized) production facility (technological unit, human-technical complex, production) is considered, the solution of which is based on the use of a precedent approach to the development and implementation of control decisions (actions). The formulation of the synthesis problem for the procedure for constructing control solutions in an ergatic system is presented.

What scientific folklore knows about the distances between the most popular distributions

We present a number of upper and low bounds for the total variation distances between the most popular probability distributions. In particular, some estimates of the total variation distances between one-dimensional Gaussian distributions, between two Poisson distributions, between two binomial distributions, between a binomial and a Poisson distribution, and also between two negative binomial distributions are given. The Kolmogorov – Smirnov distance is also presented.

Possibilities of using computer vision for data analytics in medicine

This article discusses the possibilities of using artificial intelligence technologies, namely computer vision, in the field of medicine. The relevance of the topic is due to the growing burden on medical personnel and medical institutions due to an increase in the number of elderly people, an increase in the number of patients with chronic diseases, as well as unforeseen circumstances, such as the SARS-CoV-2 pandemic in 2019-2021.

Dual active-set algorithm for optimal 3-monotone regression

The paper considers a shape-constrained optimization problem of constructing monotone regression which has gained much attention over the recent years. This paper presents the results of constructing the nonlinear regression with $3$-monotone constraints. Monotone regression of high orders can be applied in many fields, including non-parametric mathematical statistics and empirical data smoothing. In this paper, an iterative algorithm is proposed for constructing a sparse $3$-monotone regression, i.e.

Software implementation of ensemble models for the analysis of regional socio-economic development indicators

To predict indicators, modern approaches based on machine learning are increasingly being used, as a result, additional tools appear for quantitatively assessing the level of development of socio-economic systems. One of the relevant approaches in machine learning is the use of ensemble methods. The purpose of this study is to develop an approach for processing panel data using special regression models, in particular, the ensembles.

Analysis of technological trends to identify skills that will be in demand in the labor market with open-source data using machine learning methods

The further development of society directly depends on the use of technologies connected with processing data arrays and identifying patterns with the help of computer means. In this study, machine learning methods allowed us to analyze technological trends using large open-source data on patents, which enable predicting future skills in demand in the labor market.