CONTENTS

Kholodova V.S., Kochinev Yu.Yu., Sokolitsyn A.S. Modeling the degree of influence of the amount of dividends on the change in the share price. 5-24

Lazarev V.L. Theoretical foundations and methodology for choosing channels for controlling states of uncertainty of technological parameters. 25-34

Stanin A.A., Mityazova V.A., Sorokin V.I., Konnikov E.A. Modeling the level of insolvency of regions based on the risk-proneness assessment algorithm. 35-49

Petrosov D.A. Results of computational experiments on the use of a control superstructure based on artificial neural networks of the RNN class and the «random forest» algorithm in controlling a genetic algorithm in the process of finding solutions. 50-56

Pospelova A.S., Zaitsev A.A., Makarova Yu.N., Alkin K.A. Forecasting the probability of default of Russian issuing companies in up to from the Cbonds CBI RU High Yield index based on collective machine learning methods. 57-69

Averkin A.N., Trofimov Yu.V. Application of adaptive neuro-fuzzy inference systems and explanatory artificial intelligence for monitoring soil pollution and assessing risks to public health in the city of Dubna. 70-90

Malygin D.S. Methodology for evaluating JVM frameworks for the development of ITSM/ESM automation platforms based on autoscaling performance. 91-102

Babeshko L.O., Kharitonov D.A. Checking the adequacy of the turnover model Russia and China by the Salkever method. 103-111

Sorokin A.S. Analysis of changes in the structure of the PDL-market in Russia in 2019–2023 based on multivariate statistical analysis. 112-124

Chernyaev A.P., Sukhorukova I.V., Meerson A.U. Economic and mathematical model of effective fisheries management. 125-134

Chkhutiashvili L.V., Chkhutiashvili N.V. Ensuring technological sovereignty in modern Russia. 135-141