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
Shishkin Yu.E.
Statistical methods for hydrobiont images clustering
Yu.E. Shishkin, A.N. Grekov
Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28
E-mail: iurii.e.shishkin@gmail.com
DOI: 10.33075/2220-5861-2020-1-153-159
Discriminant approach to detect anomalies using Markov sequences
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
Kullbak measure in problems of dynamic clustering of observations of the environmental state
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
Intelligent system for adaptive selection of scenarios for parametric monitoring data divergence detection
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
Increasing the reliability of risk assessments in the monitoring processes described by general distributions
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
Intelligent technology development of anomalie detection in the ecosystem of Sevastopol water area
A.V. Skatkov1, A.A. Bryukhovetskiy1, Y.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: iurii.e.shishkin@gmail.com
DOI: 10.33075/2220-5861-2019-1-27-34
The concept of automated environmental monitoring intellectual system based on compact autonomous robots
Y.E. Shishkin1,2, A.N. Grekov1
1 Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28
2 Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33
E–mail: yourockpro@gmail.com
DOI: 10.33075/2220-5861-2018-4-63-69
Mobile cloud micro services actor model of monitoring
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: yourockpro@gmail.com
DOI: 10.33075/2220-5861-2018-4-56-62
Method for detecting anomalies in an interactive mode in observations scalar fields gradients
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: yourockpro@gmail.com
DOI: 10.33075/2220-5861-2018-2-30-37