Dynamic clustering for assessing the states of natural technical systems

A.V. Skatkov, A.A. Bryukhovetsky, D.V. Moiseev, V.I. Shevchenko

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

Email: dmitriymoiseev@mail.ru

DOI: 10.33075/2220-5861-2020-1-135-144

Read moreDynamic clustering for assessing the states of natural technical systems

 103 total views,  5 views today

INCREASING THE OPERABILITY OF ENVIRONMENTAL MONITORING BY DATA MINING OF INFO-COMMUNICATION PROCESSES

V.P. Evstigneev,  D.Yu. Voronin,  A.V. Skatkov,  Yu.V.Tacyi

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

Email: vald_e@rambler.ru

DOI: 10.33075/2220-5861-2019-4-54-59

Read moreINCREASING THE OPERABILITY OF ENVIRONMENTAL MONITORING BY DATA MINING OF INFO-COMMUNICATION PROCESSES

 262 total views,  1 views today

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

Email: dmitriymoiseev@mail.ru

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

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

Read moreDISCRIMINANT APPROACH TO DETECT ANOMALIES USING MARKOV SEQUENCES

 428 total views,  1 views today

 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

Read more KULLBAK MEASURE IN PROBLEMS OF DYNAMIC CLUSTERING OF OBSERVATIONS OF THE ENVIRONMENTAL STATE

 252 total views

Интеллектуальная система адаптивного выбора сценариев параметрического обнаружения дивергенций данных мониторинга

 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

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

Read moreИнтеллектуальная система адаптивного выбора сценариев параметрического обнаружения дивергенций данных мониторинга

 244 total views

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

Read moreINCREASING THE RELIABILITY OF RISK ASSESSMENTS IN THE MONITORING PROCESSES DESCRIBED BY GENERAL DISTRIBUTIONS 

 218 total views

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

Email: iurii.e.shishkin@gmail.com

DOI: 10.33075/2220-5861-2019-1-27-34

Read moreINTELLIGENT TECHNOLOGY DEVELOPMENT OF ANOMALIE DETECTION IN THE ECOSYSTEM OF SEVASTOPOL WATER AREA

 201 total views

DATA CLUSTERING IN ANOMALIES DETECTION TASKS BASED ON ORTHOGONAL FILTERS

A.V. Skatkov1, 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

Email: yourockpro@gmail.com

DOI: 10.33075/2220-5861-2018-1-36-43

Read moreDATA CLUSTERING IN ANOMALIES DETECTION TASKS BASED ON ORTHOGONAL FILTERS

 127 total views

ANOMALY IDENTIFICATION MODEL IN THE OBSERVATION FIELD USING PARAMETRIC MONITORING SYSTEMS

A.V. Skatkov1, 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: yourockpro@gmail.com

DOI: 10.33075/2220-5861-2017-4-48-53

Read moreANOMALY IDENTIFICATION MODEL IN THE OBSERVATION FIELD USING PARAMETRIC MONITORING SYSTEMS

 145 total views

Translate »