Elektron hukumat tizimi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash

Hamroyev Ravshan; Valiyev G'ayrat

doi:10.52054/rtt.2024.11.4.2

Article · 2024

Elektron hukumat tizimi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash

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20.2002/rtt/2024/v11_i4/85277768Uzbek

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Authors

Hamroyev Ravshan ORCID 0000-0002-0015-2923 (opens in a new tab)
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
Valiyev G'ayrat ORCID 0000-0002-0015-3133 (opens in a new tab)
Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti

Abstract

Ushbu maqolada «Elektron hukumat tizimi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Olingan natijalar elektron hukumat tizimi sohasida amaliy ahamiyatga ega.

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Bibliographic details

DRI: 20.2002/rtt/2024/v11_i4/85277768
Work type: Article
Journal: Raqamli texnologiyalar va ta'limISSN 2181-1091
Volume and issue: Vol. 11, No. 4
Pages: 12–17
Published: 8 December 2024
Language: Uzbek
External DOI: 10.52054/rtt.2024.11.4.2 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:50, version 1

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References

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

15 entries5 matched1 under review9 external

1.
Umarov Z.S. Elektron kutubxona uchun chuqur o‘rganish asosida tavsiya tizimini yaratish // TATU: fan, ta‘lim va innovatsiya. – 2022. – №3. – B. 14–25.
MatchedFuzzy match, S = 1.00→ Elektron kutubxona uchun chuqur o'rganish asosida tavsiya tizimini yaratish
2.
Anderson R. (2002). Machine learning methods for credit scoring. Sustainability, 107, 474–914. DOI: 10.3390/su.2002.798338
External source
3.
Axmedova M.X. Bank axborot tizimi uchun chuqur o'rganish asosida ma'lumotlarni tasniflash // Til va adabiyot ta'limi. – 2012. – №3. – B. 48–68.
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Rasulova B.Sh. Masofaviy taʻlim platformasi xavfsizligini narsalar interneti imkoniyatlari // TATU: fan, taʻlim va innovatsiya. – 2024. – №1. – B. 1–11.
MatchedFuzzy match, S = 1.00
5.
Hakimova S.G'., Kim S., Yunusov B.T. Применение блокчейна в туризма (на примере Бухары) // Raqamli texnologiyalar va ta'lim. – 2020. – №3. – B. 1–4.
MatchedFuzzy match, S = 1.00
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Волков А.Н. Применение искусственного интеллекта в банковской системы // Химия и жизнь. – 2016. – № 8. – С. 74–92.
Under review
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Smith J. (2014). Blockchain applications in public administration: a systematic review. Sustainability, 144, 439–901.
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Ro'ziyeva Z.Q. Geoaxborot tizimi uchun fuzzy logika asosida ma'lumotlarni tasniflash // Xalq ta'limi. – 2008. – №3. – B. 77–107.
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Sobirov, P. S., Ikromov, Sh. T., & Sharipov, N. S. (2023). XX asr boshidagi o'zbek adabiyotida ruhiyat tasviri masalasi (Buxoro viloyati misolida) 32. O'zMU: fan, ta'lim va innovatsiya, 11(1), 11–20. URL: https://nationaldri.uz/20.1002/ozmufti/2023/v11_i1/36032854
MatchedExact by DRI
10.
Kumar V. (1998). Water use efficiency under deficit irrigation of cotton revisited. Physical Review B, 2, 402–975.
External source
11.
Müller K. Transport sohasida kompyuter ko'rishini qo'llash // Til va adabiyot ta'limi. – 2010. – №7. – B. 47–80.
External source
12.
Martin C., Silva R., Tanaka H. (2008). Machine learning methods for credit scoring revisited. Physical Review B, 67, 207–961. https://doi.org/10.1103/PhysRevB.2008.508201
External source
13.
Novak P., Martin C., Garcia L. (2018). Deep residual learning for image recognition: evidence from panel data. Sustainability, 76, 271–943. https://doi.org/10.3390/su.2018.890976
External source
14.
Martin C., Silva R., Novak P. (2018). A meta-analysis of active learning in STEM education revisited. Agricultural Water Management, 127, 806–956. DOI: 10.1016/j.agwat.2018.363861
External source
15.
Hamroyev, R. I. (2015). Logistika korxonalarida ichki audit samaradorligini oshirish yo'llari. TATU: fan, ta'lim va innovatsiya, 3(4), 1–11. doi:10.52011/tatufti.2015.3.4.1
MatchedExact by DOI

Citing works

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

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Authors: Mansurova Sitora, Hasanova D.G'., A. SafarovMuhammad al-Xorazmiy avlodlari
DRI20.1003/mxa/2026/v13_i1/84041437 Open on nationaldri.uzArticle2views0downloads
Year2026
Citations0
Анализ эффективности финансового менеджмента в условиях цифровой экономики (на примере Хорезма) 39
Authors: Маркаева Сабина Нурали қизи, Valiyev G'ayrat, Choriyeva Hilola Botir qiziMuhammad al-Xorazmiy avlodlari
DRI20.1003/mxa/2025/v12_i8/70454105 Open on nationaldri.uzArticleSelf-citation7views0downloads
Year2025
Citations1

[1] 1.
Umarov Z.S. Elektron kutubxona uchun chuqur o‘rganish asosida tavsiya tizimini yaratish // TATU: fan, ta‘lim va innovatsiya. – 2022. – №3. – B. 14–25.
MatchedFuzzy match, S = 1.00→ Elektron kutubxona uchun chuqur o'rganish asosida tavsiya tizimini yaratish

[2] 2.
Anderson R. (2002). Machine learning methods for credit scoring. Sustainability, 107, 474–914. DOI: 10.3390/su.2002.798338
External source

[3] 3.
Axmedova M.X. Bank axborot tizimi uchun chuqur o'rganish asosida ma'lumotlarni tasniflash // Til va adabiyot ta'limi. – 2012. – №3. – B. 48–68.
External source

[4] 4.
Rasulova B.Sh. Masofaviy taʻlim platformasi xavfsizligini narsalar interneti imkoniyatlari // TATU: fan, taʻlim va innovatsiya. – 2024. – №1. – B. 1–11.
MatchedFuzzy match, S = 1.00

[5] 5.
Hakimova S.G'., Kim S., Yunusov B.T. Применение блокчейна в туризма (на примере Бухары) // Raqamli texnologiyalar va ta'lim. – 2020. – №3. – B. 1–4.
MatchedFuzzy match, S = 1.00

[6] 6.
Волков А.Н. Применение искусственного интеллекта в банковской системы // Химия и жизнь. – 2016. – № 8. – С. 74–92.
Under review

[7] 7.
Smith J. (2014). Blockchain applications in public administration: a systematic review. Sustainability, 144, 439–901.
External source

[8] 8.
Ro'ziyeva Z.Q. Geoaxborot tizimi uchun fuzzy logika asosida ma'lumotlarni tasniflash // Xalq ta'limi. – 2008. – №3. – B. 77–107.
External source

[9] 9.
Sobirov, P. S., Ikromov, Sh. T., & Sharipov, N. S. (2023). XX asr boshidagi o'zbek adabiyotida ruhiyat tasviri masalasi (Buxoro viloyati misolida) 32. O'zMU: fan, ta'lim va innovatsiya, 11(1), 11–20. URL: https://nationaldri.uz/20.1002/ozmufti/2023/v11_i1/36032854
MatchedExact by DRI

[10] 10.
Kumar V. (1998). Water use efficiency under deficit irrigation of cotton revisited. Physical Review B, 2, 402–975.
External source

[11] 11.
Müller K. Transport sohasida kompyuter ko'rishini qo'llash // Til va adabiyot ta'limi. – 2010. – №7. – B. 47–80.
External source

[12] 12.
Martin C., Silva R., Tanaka H. (2008). Machine learning methods for credit scoring revisited. Physical Review B, 67, 207–961. https://doi.org/10.1103/PhysRevB.2008.508201
External source

[13] 13.
Novak P., Martin C., Garcia L. (2018). Deep residual learning for image recognition: evidence from panel data. Sustainability, 76, 271–943. https://doi.org/10.3390/su.2018.890976
External source

[14] 14.
Martin C., Silva R., Novak P. (2018). A meta-analysis of active learning in STEM education revisited. Agricultural Water Management, 127, 806–956. DOI: 10.1016/j.agwat.2018.363861
External source

[15] 15.
Hamroyev, R. I. (2015). Logistika korxonalarida ichki audit samaradorligini oshirish yo'llari. TATU: fan, ta'lim va innovatsiya, 3(4), 1–11. doi:10.52011/tatufti.2015.3.4.1
MatchedExact by DOI