Shishkin Yu.E.

Selecting primary sensor types considering nonlinear error characteristics

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Y.E. Shishkin, A.V. Skatkov Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28 E-mail: iurii.e.shishkin@gmail.com DOI: 10.33075/2220-5861-2023-4-112-123  UDC 681.3       EDN: https://elibrary.ru/speyxa Abstract: The paper addresses the application of simulation modeling and mathematical methods to assist decision-making in selecting the type of primary sensor, considering its non-linear error characteristics. The approach integrates algorithmic solutions … Read more

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Application of the YOLOV5 model for the detection of micro-objects in the marine environment

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A.N. Grekov1,2, Y.E. Shishkin1, S.S. Peliushenko1, A.S. Mavrin1,2

1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

2Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

E–mail: i@angrekov.ru

DOI: 10.33075/2220-5861-2022-4-112-122

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Construction of object boundaries for the autopilot of a surface robot from satellite images using computer vision methods

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A.N. Grekov1,2, Y.E. Shishkin1, S.S. Peliushenko1, A.S. Mavrin1,2

1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

2Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

E-mail: iurii.e.shishkin@gmail.com

DOI: 10.33075/2220-5861-2021-3-107-118

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Software and hardware module to support decision-making of qualitative abnormal changes presence in sample data based on information metrics

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Y.E. Shishkin1, A.V. Skatkov2

 1Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

2Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

E-mail: iurii.e.shishkin@gmail.com

DOI: 10.33075/2220-5861-2021-2-142-151

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Discriminant approach to detect anomalies using Markov sequences

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A.V. Skatkov, A.A. Bryukhovetskiy, D.V. Moiseev, Yu.E. Shishkin

 1Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

E–mail: dmitriymoiseev@mail.ru

2Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

DOI: 10.33075/2220-5861-2019-4-43-49

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 Kullbak measure in problems of dynamic clustering of observations of the environmental state

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A.V. Skatkov1, A.A. Bryukhovetskiy1, D.V. Moiseev1, Iu.E. Shishkin1,2

1 Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28

E-mail: dmitriymoiseev@mail.ru

DOI: 10.33075/2220-5861-2019-3-35-38

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Intelligent system for adaptive selection of scenarios for parametric monitoring data divergence detection

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 Y.E. Shishkin1,2, A.V. Skatkov1

 1 Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

E-mail: iurii.e.shishkin@gmail.com

DOI: 10.33075/2220-5861-2019-2-37-42

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Increasing the reliability of risk assessments in the monitoring processes described by general distributions

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 Y.E. Shishkin1,2, A.V. Skatkov1

1 Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28

E-mail: iurii.e.shishkin@gmail.com

DOI: 10.33075/2220-5861-2019-1-41-47

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