Application of transformer models for anomaly detection (case of Samarkand)

Hamroyev Ravshan Islom o'g'li

Abstract · 2026

Application of transformer models for anomaly detection (case of Samarkand)

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20.2002/mkconf2026/2026/65404238English

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Hamroyev Ravshan Islom o'g'li ORCID 0000-0002-0015-2923 (opens in a new tab)
Tashkent University of Information Technologies named after Muhammad al-KhwarizmiTATU

Abstract

The article examines application of transformer models for anomaly detection (case of Samarkand). A comparative analysis of international experience is provided. Practical recommendations are proposed.

Keywords

Bibliographic details

DRI: 20.2002/mkconf2026/2026/65404238
Work type: Abstract
Pages: 101–102
Published: 20 February 2026
Language: English
Passport mirror: synced 21/09/2026, 17:49, version 1

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References

Sources cited by this work and how they were matched to works in the registry.

8 entries6 matched0 under review2 external

1.
Lee J., Silva R. (2019). Thin film solar cells: materials and performance: evidence from panel data. Applied Linguistics, 59, 296–978.
External source
2.
Mamatov, M. I., Valiyev, G'. J., Hamroyev, R. I., et al. (2014). IoT tarmog'i uchun fuzzy logika asosda anomaliyalarni aniqlash. TATU ilmiy-uslubiy jurnali, 1(4), 1–9. URL: https://nationaldri.uz/20.1003/tatuilm/2014/v1_i4/76789172
MatchedExact by DRI→ IoT tarmog'i uchun fuzzy logika asosida anomaliyalarni aniqlash
3.
Hamroyev, R. I., Rustamova, N. J., & Ergasheva, N. I. (2024). Elektron hukumat tizimi uchun klasterlash asosida tasvirlarni segmentatsiyalash. TATU: fan, ta'lim va innovatsiya, 12(1), 12–17.
MatchedFuzzy match, S = 1.00
4.
Novak P., Kim S., Rossi F. (2007). Blockchain applications in public administration. Journal of Economic Perspectives, 69, 388–927.
External source
5.
Valiyeva, N. B., & Ne'matov, U. H. (2020). Surxondaryo viloyati iqtisodiyotida bank tizimining o'rni va rivojlanish istiqbollari. Iqtisodiyot va innovatsion texnologiyalar, 5(3), 6–12.
MatchedFuzzy match, S = 1.00
6.
Hamroyev, R. I. (2020). Moliya zamonaviy sohasida tabiiy tilni qayta ishlashni qo'llash. Toshkent.
MatchedFuzzy match, S = 0.95
7.
Rahimov, Sh. R., & Toshmatov, Sh. E. (2022). O'zbek tilidagi matnlar korpusi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash. TDTU ilmiy-uslubiy jurnali, 15(4), 6–11.
MatchedFuzzy match, S = 0.98
8.
Jabborov, B. S. (2018). Masofaviy ta'lim platformasi uchun klasterlash algoritmlari asosida tavsiya yaratish. Toshkent.
MatchedFuzzy match, S = 0.97

Citing works

Works in the registry that cite this work, newest first.

Authors:
DRI20.1006/diss/d2026/83845821 Open on nationaldri.uzDissertation2views0downloads
Year2026
Citations0
Authors: Kamolova Gulnora Salim qizi, Muhammad al-Xorazmiy avlodlari
DRI20.1003/mxa/2026/v13_i5/15221115 Open on nationaldri.uzArticle11views0downloads
Year2026

[1] 1.
Lee J., Silva R. (2019). Thin film solar cells: materials and performance: evidence from panel data. Applied Linguistics, 59, 296–978.
External source

[2] 2.
Mamatov, M. I., Valiyev, G'. J., Hamroyev, R. I., et al. (2014). IoT tarmog'i uchun fuzzy logika asosda anomaliyalarni aniqlash. TATU ilmiy-uslubiy jurnali, 1(4), 1–9. URL: https://nationaldri.uz/20.1003/tatuilm/2014/v1_i4/76789172
MatchedExact by DRI→ IoT tarmog'i uchun fuzzy logika asosida anomaliyalarni aniqlash

[3] 3.
Hamroyev, R. I., Rustamova, N. J., & Ergasheva, N. I. (2024). Elektron hukumat tizimi uchun klasterlash asosida tasvirlarni segmentatsiyalash. TATU: fan, ta'lim va innovatsiya, 12(1), 12–17.
MatchedFuzzy match, S = 1.00

[4] 4.
Novak P., Kim S., Rossi F. (2007). Blockchain applications in public administration. Journal of Economic Perspectives, 69, 388–927.
External source

[5] 5.
Valiyeva, N. B., & Ne'matov, U. H. (2020). Surxondaryo viloyati iqtisodiyotida bank tizimining o'rni va rivojlanish istiqbollari. Iqtisodiyot va innovatsion texnologiyalar, 5(3), 6–12.
MatchedFuzzy match, S = 1.00

[6] 6.
Hamroyev, R. I. (2020). Moliya zamonaviy sohasida tabiiy tilni qayta ishlashni qo'llash. Toshkent.
MatchedFuzzy match, S = 0.95

[7] 7.
Rahimov, Sh. R., & Toshmatov, Sh. E. (2022). O'zbek tilidagi matnlar korpusi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash. TDTU ilmiy-uslubiy jurnali, 15(4), 6–11.
MatchedFuzzy match, S = 0.98

[8] 8.
Jabborov, B. S. (2018). Masofaviy ta'lim platformasi uchun klasterlash algoritmlari asosida tavsiya yaratish. Toshkent.
MatchedFuzzy match, S = 0.97