MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example)

Abdulaziz Abdullaev; Yekaterina Lyutikova; Irina Litovchenko

doi:10.59849/2219-6641.2025.1.3

MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example)

Abstract

The paper presents one of the modern and relevant approaches to using Artificial Intelligence in machine learning, namely, the pattern recognition method. It is one of the powerful tools for intelligent analysis of large volumes of data. Today, there are a huge number of recognition algorithms and technologies for their implementation, including in the processing of seismic data, the use of clustering methods and event recognition in seismology. Such events include weak seismicity (earthquake swarms) in any seismically active region. This approach carries a promising method for representing seismic events in real time, and their visualization occurs directly during the continuous flow of seismic events. To ensure seismic safety of the region in a timely manner, it is necessary to use modernized methods and means of processing large volumes of data. Including the method of cluster analysis of events in the form of pattern recognition, swarms of weak earthquakes. Keywords: Machine learning, Artificial Intelligence (AI), intelligent methods, pattern recognition, seismicity, earthquakes, earthquake swarm, seismic safety

Keywords

References

1. by Hopfield neural networks. In the world of scientific discoveries, No. 5 (77), 2016.- [Electronic resource]: access mode http//:www.researchgate.net/ publication/306105318_SRAVNENIE_ALGORITMOV_ASPOZNAVANIA _OBRAZOV_NEJRONNYMI_SETAMI_HOPFILDA/link/57b1b519008ae01 01f 17a4a93
2. Nguyen G. et al. Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: A survey // Artificial Intelligence Review. – 2019. – T. 52. – No. 1. – P. 77–124.
3. Abdullaev A.U., Sylkanova A.O., YesenzhigitovaE.Zh., Khachikyan G.Ya. On the assessment of seismotectonic potential: a practical aspect in connection with geoecology//Geography and water resources. No. 1. 2023. pp. 42-47. DOI: https://doi.org/10.55764/2957-9856/2023-1-42-49.5%20
4. Abdullaev A.U., Sarsenbaev D.A., Yesenzhigitova E.Zh., Stepanenko N.P. Key areas of scientific research on ensuring seismic safety of the Republic of Kazakhstan NNCSNI EMERCOM of the Republic of Kazakhstan // Science and education in civil defense No. 3. 2024. pp. 13-26. ISSN 3007-1674
5. Prokhorov V.G. Recognition of graphic images of text symbols presented in the form of characteristic vectors // Applied software provision.- P. 97-106. - [Electronic resource]: access mode.- http://www.dspace.nbuv.ua/handle /123456789/304/ Prokhorov _1. pdf? sequence =1
6. Gorodetsky V.I., Serebryakov S.V. Methods and algorithms of collective recognition: Review.-2006.- [Electronic resource]: access mode .- http://www. proceedings. spiiras. nw. ru/ index . php/ articale/ viewFile
7. Tsvetkov A.A., Shorokh D.K., Zubareva M.G. et al. Algorithms for object recognition//Engineering sciences: Problems and prospects.materials IV Int.sci.conf. Saint Petersburg, 2016.-Vol.38.-133s.- [Electronic resource]: access mode http://www.moluch.ru/conf/tech/archive/166/
8. Lyutikova V.S., Litovchenko I.N. PATTERN RECOGNITION TECHNOLOGY (IN DETECTING EARTHQUAKE SWARMS) // Materials of reports XI International Conference of Young Scientists and Students. - Bishkek, 201 9. - P.S 104-108.

9. Kurskeev A.K., Amirov N.B. Gravitational influence of the Moon on the Earth as a long-term predictor of seismicity // International jubilee scientific conference dedicated to the 15th anniversary of the establishment of the Central Asian Institute of Applied Geosciences (CAIAG) Bishkek, Kyrgyz Republic, 2019. - P. 30-34.
10. Kurskeyev A.K., Serazetdinova B.Z., Litovchenko I.N. Energy basis for the formation of earthquake focal zones // Geophysical methods for solving urgent problems of modern seismology, Int. Sci. Conf ., Tashkent, 2018. - P. P. 178 187.
11. Kurskeyev A.K., Amirov N.B. Rotational regime and seismicity of the Earth // Reports of the NAS RK. No. 1. 2016. - P.S. 65-69. 12. Litovchenko I.N., Lyutikova V.S. IDENTIFICATION OF EARTHQUAKE SWARMS IN THE SEISMOACTIVE REGION OF THE NORTHERN TIEN SHAN AND ADJACENT TERRITORIES // International jubilee scientific conference dedicated to the 15th anniversary of the establishment of the Central Asian Institute of Applied Geosciences (CAIAG) Bishkek, Kyrgyz Republic, 2019. - P. 35-38.
13. Lyutikova V.S. Earthquake swarms as a response of energy-saturated structures of the earth's crust to the impact of astrophysical factors//World Congress of Engineers and Scientists "Energy of the Future: Innovative Scenarios and Methods for Their Implementation", WSEC -2017.- Astana, Kazakhstan,.- T.4.- Almaty, 2017.- P.S.328-331.
14. Kazakov V.V., Litovchenko I.N., Parshukov M.Yu. Earthquake swarms in the Northern Tien Shan// Earthquake forecast and deep geodynamics. Proceedings of the int.symp.-Almaty.1997.-P.145-151.
15. Catalogue of earthquakes / Seismic experimental and methodological expedition (SEME) of the Republic of Kazakhstan [Electronic resource]: access mode - http://some.kz/index.php?p=card&outlang=1&oid=9 .
16. Litovchenko I.N., Lyutikova V.S. Universal algorithm for recognizing patterns of swarm sequences of earthquakes in modern seismicity of the Northern Tien Shan region and adjacent territories// Proceedings of the XX All-Russian Conference with international participation "Deep structure, minerageny, modern geodynamics and seismicity of the East European platform and adjacent regions". Voronezh, 2016.-5 p.
17. Lyutikova V.S. Earthquake swarms as a response of energy-saturated structures of the earth's crust to the impact of astrophysical factors // Collection of materials of the World Congress of Engineers and Scientists EXPO 2017. Astana, 2017.-pp. 328-331.
18. Lyutikova V.S., Litovchenko I.N. Pattern recognition technology (in identifying earthquake swarms) // MODERN TECHNOLOGIES AND TECHNOLOGIES IN SCIENTIFIC RESEARCH. Materials of reports XI International Conference of Young Scientists and Students. - Bishkek, 2019. - pp. 104-108.
19. Lyutikova V.S., Litovchenko I.N. Training algorithm for pattern recognition in solving practical problems // Robotics and Artificial Intelligence. - Proc. XI All-Russian scientific-technical conf. with int. uch. (Zheleznogorsk, December 14, 2019). - Zheleznogorsk, 2019. - [Electronic publication]. - CC.231-237. 20. Lyutikova V.S., Litovchenko I.N. Pattern recognition technology in detecting earthquake swarms//Knowledge-Ontology-Theory (ZONT-2019). - Mat.VIIInt.conf., 2019.-CC.233-237.
21. Lyutikova VS, Litovchenko I.N. Modern pattern recognition tools (by the example of earthquake swarms) Astana, 2023.- pp. 7-10.
22. Panas N.M., Assinovskaya B.A. Dynamic parameters of weak earthquakes of the eastern slope of the Baltic Shield//Russian Seismological Journal.- 2022.Vol.4, No. 4.- P 65-78. DOI: 10.33540/2686-7907/2022.4.05.- EDN: AFPGFJ
23. Radziminovich N.A., Ochkovskaya M.G. Identification of aftershock and swarm sequences of earthquakes in the Baikal rift zone. [Electronic resource]: access mode-http://www/cyberleninka.ru/article/n/vydelenie-aftershokov-i- roevih-posledovatelnostey-zemletryaseniy-baykalskoy-riftovoy-zony/viewer

Details

Primary Language

English

Subjects

Seismology and Seismic Exploration

Journal Section

Theoretical Article

Authors

Abdulaziz Abdullaev ^* This is me
Kazakhstan

Yekaterina Lyutikova This is me
Kazakhstan

Irina Litovchenko This is me
Kazakhstan

Publication Date

May 30, 2025

Submission Date

February 12, 2025

Acceptance Date

April 16, 2025

Published in Issue

Year 2025 Volume: 27 Number: 1

DOI

https://doi.org/10.59849/2219-6641.2025.1.3

IZ

https://izlik.org/JA52CL24WG

Cite

RIS / Bibtex

APA

Abdullaev, A., Lyutikova, Y., & Litovchenko, I. (2025). MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example). Seismoprognosis Observations in the Territory of Azerbaijan, 27(1), 3-9. https://doi.org/10.59849/2219-6641.2025.1.3

AMA

1.Abdullaev A, Lyutikova Y, Litovchenko I. MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example). Seismoprognosis Observations in the Territory of Azerbaijan. 2025;27(1):3-9. doi:10.59849/2219-6641.2025.1.3

Chicago

Abdullaev, Abdulaziz, Yekaterina Lyutikova, and Irina Litovchenko. 2025. “MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using Earthquake Swarms As an Example)”. Seismoprognosis Observations in the Territory of Azerbaijan 27 (1): 3-9. https://doi.org/10.59849/2219-6641.2025.1.3.

EndNote

Abdullaev A, Lyutikova Y, Litovchenko I (May 1, 2025) MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example). Seismoprognosis Observations in the Territory of Azerbaijan 27 1 3–9.

IEEE

[1]A. Abdullaev, Y. Lyutikova, and I. Litovchenko, “MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example)”, Seismoprognosis Observations in the Territory of Azerbaijan, vol. 27, no. 1, pp. 3–9, May 2025, doi: 10.59849/2219-6641.2025.1.3.

ISNAD

Abdullaev, Abdulaziz - Lyutikova, Yekaterina - Litovchenko, Irina. “MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using Earthquake Swarms As an Example)”. Seismoprognosis Observations in the Territory of Azerbaijan 27/1 (May 1, 2025): 3-9. https://doi.org/10.59849/2219-6641.2025.1.3.

JAMA

1.Abdullaev A, Lyutikova Y, Litovchenko I. MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example). Seismoprognosis Observations in the Territory of Azerbaijan. 2025;27:3–9.

MLA

Abdullaev, Abdulaziz, et al. “MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using Earthquake Swarms As an Example)”. Seismoprognosis Observations in the Territory of Azerbaijan, vol. 27, no. 1, May 2025, pp. 3-9, doi:10.59849/2219-6641.2025.1.3.

Vancouver

1.Abdulaziz Abdullaev, Yekaterina Lyutikova, Irina Litovchenko. MACHINE LEARNING FOR INTELLIGENT PATTERN RECOGNITION METHODS FOR SEISMIC SAFETY (using earthquake swarms as an example). Seismoprognosis Observations in the Territory of Azerbaijan. 2025 May 1;27(1):3-9. doi:10.59849/2219-6641.2025.1.3