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I.A. Lozhkin,M.E. Dunaev,K.S. Zaytsev,A.A. Garmash
Pág. 109 - 117
The purpose of this work is to study the effectiveness of augmentation methods of image sets when they are insufficient in training sample of neural networks for solving semantic segmentation problems. For this purpose, the main groups of augmentation me...
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R.A. Elchenkov,M.E. Dunaev,K.S. Zaytsev
Pág. 62 - 69
The purpose of this work is to study methods for predicting the values of time series when processing streaming data in distributed systems in real time. To do this, the authors propose a modification of the autoregressive model with a given AR order by ...
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D.E. Savitsky,M.E. Dunaev,K.S. Zaytsev
Pág. 70 - 76
The purpose of this work is to study methods for detecting anomalies in the processing of data streams in distributed streams in real time. To do this, the authors carried out a modification of the K-Means algorithm, called K-Means in real time, and carr...
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Adelya Khasanova,Maxim Dunaev
Pág. 9 - 15
In the modern world, all companies use IT infrastructure to organize their activities. And an attempt to eliminate various anomalous events (including security threats) in the activities of technology platforms is becoming extremely urgent.Such platforms...
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Igor Chirkov,Maxim Dunaev
Pág. 36 - 42
The problem of software failures in the operation of complex corporate software systems is economically significant and, unfortunately, inevitable. Therefore, to solve this problem, it is necessary to predict failures in a timely manner, based on informa...
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V. I. Zurnadzhy,V. G. Efremenko,E. V. Dunaev,A. Lekatou,R. A. Kussa
Pág. 103 - 113
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