CONTENTS
Prokopchina S.V. Methodology for creating "trustworthiness" artificial intelligence in systems based on the regularizing bayesian approach. 5-21
Malyukov Y.A., Nedosekin A.O., Abdoulaeva Z.I. Models and methods for assessing and ensuring super-system resilience. 22-32
Krivolapov S.Ya. Stock price analysis using Markov chains. 33-49
Prokopchina S.V. Project management in conditions of uncertainty based on the regularizing bayesian approach. 50-68
Kolobaev M.E., Prytyka D.A., Mikhailova D.O., Voevodina E.I., Yurchenko A.V. Modern architectures of convolutional neural networks used for image classification tasks. 69-78
Sazhneva L.P., Mamedguliev R.I. Technological development of metaverses in the Russian federation: not on the periphery of the world avant-garde. 79-89
Yarushev S.A., Iksanov V.R., Savinova V.M., Alibalaeva L.I., Shpileva A.A. Development of a model for the analysis of medical data based on the ARIMA model on the example of prediction of the consequences of COVID-19... 90-98
Chkhutiashvili L.V., Emelyanenko A.V. Digital economy and digitalization of the economy: correlation and interrelation. 99-106
Varnavskaya M.N., Sazhneva L.P. Features of automation of the business process of ensuring labor protection in high-tech production. 107-111
