O'zbek tilidagi matnlar korpusi uchun chuqur o'rganish asosida anomaliyalarni aniqlash

Mirzayeva Nilufar

Dissertation · 2026

O'zbek tilidagi matnlar korpusi uchun chuqur o'rganish asosida anomaliyalarni aniqlash

Blockchain in agriculture: a case of Uzbekistan

Edit passport — nationaldri.uz

20.1006/diss/d2026/71278537Uzbek

Passport

A mirror of the passport from the nationaldri.uz registry. It can only be edited on nationaldri.uz.

Authors

Mirzayeva Nilufar ORCID 0000-0002-0018-0924 (opens in a new tab)
Tashkent State Technical University named after Islam KarimovIslom Karimov nomidagi TDTU

Abstract

Ushbu maqolada «O'zbek tilidagi matnlar korpusi uchun chuqur o'rganish asosida anomaliyalarni aniqlash» mavzusi tahlil qilingan. Tadqiqot davomida 584 nafar respondent ishtirokida tajriba-sinov ishlari o'tkazildi. Natijalar o'zbek tilidagi matnlar korpusi samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.1006/diss/d2026/71278537
Work type: Dissertation
Published: 4 May 2026
Language: Uzbek
Passport mirror: synced 21/09/2026, 17:50, version 2

Metrics

Citations

0

Excluding self-citations: 0

Excluding self-citations

0

Views

1

Downloads

0

Usage by source

Duplicates (24 hours) and bots are filtered out.

Usage by source
Source	Views	Downloads
Journal pagejournal.milliykengash.com	0	0
Conference proceedingsconference.milliykengash.com	0	0
DRI resolverclicks through nationaldri.uz	1	—
Total	1	0

Links

Open on nationaldri.uz (opens in a new tab)
Full passport (nationaldri.uz) (opens in a new tab)
Edit passport — nationaldri.uz (opens in a new tab)
To fix an error in the passport, the publishing journal or the author uses the nationaldri.uz account.

Monthly usage

Views and downloads over the last 24 months (all sources).

References

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

30 entries14 matched3 under review13 external

1.
Shukurova, K. Z. (2013). Baliq turlariga iqlim o'zgarishining ta'siri. Toshkent. – DRI 20.3001/diss/d2013/75336189
MatchedExact by DRI→ Baliq turlariga iqlim o'zgarishining ta'siri
2.
Brown A. (2024). Deep residual learning for image recognition. Educational Psychology Review, 178, 314–989. https://doi.org/10.1007/s10648.2024.325510
External source
3.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source
4.
Markayev U.A. Migren bilan og'rigan bolalarda dietoterapiya samaradorligi // Tibbiyot akademiyasi axborotnomasi. – 2023. – №3. – B. 20–31. https://doi.org/10.52034/ttaa.2023.9.3.4
MatchedExact by DOI
5.
Markayev U.A., Eshonqulova I.B., Karimova S.S. Qandli diabet bilan og'rigan bolalara fizioterapiya samaradorligi (Farg'ona viloyati misolida) // Tibbiyot va sog'liqni saqlash. – 2024. – №2. – B. 30–41. – DRI 20.2002/tss/2024/v11_i2/13275528
MatchedExact by DRI
6.
Волков А.Н. Применение интернета вещей в банковской системы. – М.: Наука, 1994. – 217 с.
External source
7.
Husanov Sh.A., Ivanov I.I., Ikromova X.R. Aqlli uy tizimi xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari // Muhammad al-Xorazmiy avlodlari. – 2019. – №2. – B. 1–11.
MatchedFuzzy match, S = 1.00
8.
Mirzayeva N.D., Ivanov I.I. Elektron hukumat tizimi uchun klasterlash algoritmlari asosida ma'lumotlarni tasniflash // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2022. – B. 9–10. https://nationaldri.uz/20.1007/farduconf2022/2022/14583379
MatchedExact by DRI
9.
Rahimova, S. B. (2016). Qishloq xo'jaligi sohasida haqida tabiiy tilni qayta ishlashni qo'llash. TATU: fan, ta'lim va innovatsiya, 4(1), 1–13.
MatchedFuzzy match, S = 1.00
10.
Ahmadjonov, V. Sh., & Qosimov, O. R. (2014). Elektron hukumat tizimi xavfsizligini ta`minlashda blokcheyn imkoniyatlari. TATU: fan, ta`lim va innovatsiya, 2(1), 1–4.
MatchedFuzzy match, S = 1.00
11.
Камолова Г.С. ТРАНСПОРТ СОҲАСИДА СУНъИЙ ИНТЕЛЛЕКТНИ АСОСИЙ // «Тиббиётнинг долзарб муаммолари» мавзусидаги халқаро илмий-амалий конференсия материаллари. – Тошкент, 2017. – Б. 62–63.
Under review
12.
Ikromov F.S., Zokirov Sh.K., Petrova A.S., va boshq. Application of transformer models for text classification // TDTU ilmiy-uslubiy jurnali. – 2020. – №3. – B. 1–11. URL: https://nationaldri.uz/20.1006/tdtuilm/2020/v12_i3/36215275
MatchedExact by DRI
13.
Камолова Г.С., Мансуров К.В. Геоахборот тизими учун чуқур ўргнаиш асосида тавсия тизимини яратиш // ЎзМУ: фан, таълим ва инноватсия. – 2016. – №3. – Б. 1–11.
MatchedFuzzy match, S = 1.00
14.
Nguyen T., Tanaka H., Rossi F. (2016). Machine learning methods for credit scoring. World Development, 112, 626–997. https://doi.org/10.1016/j.worlddev.2016.733827
External source
15.
Berdiyev U.A., Aliyeva F.N., Olimov I.O. Elektron kutubxona uchun transformer zamonaviy modeli asosida tasvirlarni segmentatsiyalash // TATU ilmiy-uslubiy jurnali. – 2025. – B. 1–4.
MatchedFuzzy match, S = 1.00
16.
Brown A., Lee J. (2000). Economic growth and institutional quality in transition economies: evidence from panel data. The Lancet, 141, 11–961. https://doi.org/10.1016/S0140-6736.2000.486802
External source
17.
Egamberdiyeva Y.S., Mirzayeva N.D., Fayziyev A.K., va boshq. Синтез и свойства полимернхы композитов (на примере Самарканда) 74 // TDPU: fan, ta'lim va innovatsiya. – 2026. – №1. – B. 30–38. – DRI 20.1001/tdpufti/2026/v13_i1/82115104
MatchedExact by DRI
18.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source
19.
Martin C. (2016). Machine learning methods for credit scoring revisited. Applied Linguistics, 45, 869–901. DOI: 10.1093/applin.2016.670354
External source
20.
Sultonov, K. M. (2021). Tibbiy tasvirlarni chuqur o‘rganish yordamida tahlil qilish. TATU: fan, ta‘lim va innovatsiya, 9(2), 1–11.
MatchedFuzzy match, S = 1.00
21.
Silva R. (2022). Teacher professional development in digital learning environments revisited. Journal of Economic Perspectives, 123, 361–985. DOI: 10.1257/jep.2022.158464
External source
22.
Qosimov O.R. O'zbek tilidagi matnlarni konvolyutsion neyron tarmoq yordamida tahlil qilish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2017. – 70 b. https://nationaldri.uz/20.1003/diss/d2017/87565071
MatchedExact by DRI
23.
Silva R., Martin C., Wang L. (2011). Soil salinity mapping using remote sensing data. Applied Linguistics, 38, 179–950. https://doi.org/10.1093/applin.2011.265709
External source
24.
Rahimova G.D. Qishloq xo'jaligi sohasida tabiiy tilni qayta ishlashni qo'llash // Til va adabiyot ta'limi. – 2013. – №6. – B. 6–76.
Under review
25.
Bloom B.S. Taxonomy of Educational Objectives. – New York: Longman, 1956. – 207 p.
External source
26.
To'xtayeva, S. M., Komilov, Sh. G'., Smith, J., et al. (2021). Оптимизация температурного режима двигателя методом математического моделирования (на примере Ташкента) 38. Texnika yulduzlari, 1–12.
MatchedFuzzy match, S = 1.00
27.
Mo'minov F.S. Masofaviy ta'lim platformasi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash // Xalq ta'limi. – 2018. – №2. – B. 69–112.
External source
28.
Boboyeva X.B. Kosmik suratlarni kriptografik protokollar yordamida tahlil qilish // Xalq ta'limi. – 2019. – №4. – B. 49–106.
Under review
29.
Tanaka H., Novak P. (1998). Teacher professional development in digital learning environments in developing countries. Agricultural Water Management, 83, 576–905. DOI: 10.1016/j.agwat.1998.387434
External source
30.
Bozorov D.F. Ijtimoiy tarmoq ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish // Til va adabiyot ta'limi. – 2014. – №5. – B. 41–68.
External source

Citing works

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

This work has not been cited yet

When other works in the registry cite this work, they will appear here.

[1] 1.
Shukurova, K. Z. (2013). Baliq turlariga iqlim o'zgarishining ta'siri. Toshkent. – DRI 20.3001/diss/d2013/75336189
MatchedExact by DRI→ Baliq turlariga iqlim o'zgarishining ta'siri

[2] 2.
Brown A. (2024). Deep residual learning for image recognition. Educational Psychology Review, 178, 314–989. https://doi.org/10.1007/s10648.2024.325510
External source

[3] 3.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source

[4] 4.
Markayev U.A. Migren bilan og'rigan bolalarda dietoterapiya samaradorligi // Tibbiyot akademiyasi axborotnomasi. – 2023. – №3. – B. 20–31. https://doi.org/10.52034/ttaa.2023.9.3.4
MatchedExact by DOI

[5] 5.
Markayev U.A., Eshonqulova I.B., Karimova S.S. Qandli diabet bilan og'rigan bolalara fizioterapiya samaradorligi (Farg'ona viloyati misolida) // Tibbiyot va sog'liqni saqlash. – 2024. – №2. – B. 30–41. – DRI 20.2002/tss/2024/v11_i2/13275528
MatchedExact by DRI

[6] 6.
Волков А.Н. Применение интернета вещей в банковской системы. – М.: Наука, 1994. – 217 с.
External source

[7] 7.
Husanov Sh.A., Ivanov I.I., Ikromova X.R. Aqlli uy tizimi xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari // Muhammad al-Xorazmiy avlodlari. – 2019. – №2. – B. 1–11.
MatchedFuzzy match, S = 1.00

[8] 8.
Mirzayeva N.D., Ivanov I.I. Elektron hukumat tizimi uchun klasterlash algoritmlari asosida ma'lumotlarni tasniflash // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2022. – B. 9–10. https://nationaldri.uz/20.1007/farduconf2022/2022/14583379
MatchedExact by DRI

[9] 9.
Rahimova, S. B. (2016). Qishloq xo'jaligi sohasida haqida tabiiy tilni qayta ishlashni qo'llash. TATU: fan, ta'lim va innovatsiya, 4(1), 1–13.
MatchedFuzzy match, S = 1.00

[10] 10.
Ahmadjonov, V. Sh., & Qosimov, O. R. (2014). Elektron hukumat tizimi xavfsizligini ta`minlashda blokcheyn imkoniyatlari. TATU: fan, ta`lim va innovatsiya, 2(1), 1–4.
MatchedFuzzy match, S = 1.00

[11] 11.
Камолова Г.С. ТРАНСПОРТ СОҲАСИДА СУНъИЙ ИНТЕЛЛЕКТНИ АСОСИЙ // «Тиббиётнинг долзарб муаммолари» мавзусидаги халқаро илмий-амалий конференсия материаллари. – Тошкент, 2017. – Б. 62–63.
Under review

[12] 12.
Ikromov F.S., Zokirov Sh.K., Petrova A.S., va boshq. Application of transformer models for text classification // TDTU ilmiy-uslubiy jurnali. – 2020. – №3. – B. 1–11. URL: https://nationaldri.uz/20.1006/tdtuilm/2020/v12_i3/36215275
MatchedExact by DRI

[13] 13.
Камолова Г.С., Мансуров К.В. Геоахборот тизими учун чуқур ўргнаиш асосида тавсия тизимини яратиш // ЎзМУ: фан, таълим ва инноватсия. – 2016. – №3. – Б. 1–11.
MatchedFuzzy match, S = 1.00

[14] 14.
Nguyen T., Tanaka H., Rossi F. (2016). Machine learning methods for credit scoring. World Development, 112, 626–997. https://doi.org/10.1016/j.worlddev.2016.733827
External source

[15] 15.
Berdiyev U.A., Aliyeva F.N., Olimov I.O. Elektron kutubxona uchun transformer zamonaviy modeli asosida tasvirlarni segmentatsiyalash // TATU ilmiy-uslubiy jurnali. – 2025. – B. 1–4.
MatchedFuzzy match, S = 1.00

[16] 16.
Brown A., Lee J. (2000). Economic growth and institutional quality in transition economies: evidence from panel data. The Lancet, 141, 11–961. https://doi.org/10.1016/S0140-6736.2000.486802
External source

[17] 17.
Egamberdiyeva Y.S., Mirzayeva N.D., Fayziyev A.K., va boshq. Синтез и свойства полимернхы композитов (на примере Самарканда) 74 // TDPU: fan, ta'lim va innovatsiya. – 2026. – №1. – B. 30–38. – DRI 20.1001/tdpufti/2026/v13_i1/82115104
MatchedExact by DRI

[18] 18.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source

[19] 19.
Martin C. (2016). Machine learning methods for credit scoring revisited. Applied Linguistics, 45, 869–901. DOI: 10.1093/applin.2016.670354
External source

[20] 20.
Sultonov, K. M. (2021). Tibbiy tasvirlarni chuqur o‘rganish yordamida tahlil qilish. TATU: fan, ta‘lim va innovatsiya, 9(2), 1–11.
MatchedFuzzy match, S = 1.00

[21] 21.
Silva R. (2022). Teacher professional development in digital learning environments revisited. Journal of Economic Perspectives, 123, 361–985. DOI: 10.1257/jep.2022.158464
External source

[22] 22.
Qosimov O.R. O'zbek tilidagi matnlarni konvolyutsion neyron tarmoq yordamida tahlil qilish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2017. – 70 b. https://nationaldri.uz/20.1003/diss/d2017/87565071
MatchedExact by DRI

[23] 23.
Silva R., Martin C., Wang L. (2011). Soil salinity mapping using remote sensing data. Applied Linguistics, 38, 179–950. https://doi.org/10.1093/applin.2011.265709
External source

[24] 24.
Rahimova G.D. Qishloq xo'jaligi sohasida tabiiy tilni qayta ishlashni qo'llash // Til va adabiyot ta'limi. – 2013. – №6. – B. 6–76.
Under review

[25] 25.
Bloom B.S. Taxonomy of Educational Objectives. – New York: Longman, 1956. – 207 p.
External source

[26] 26.
To'xtayeva, S. M., Komilov, Sh. G'., Smith, J., et al. (2021). Оптимизация температурного режима двигателя методом математического моделирования (на примере Ташкента) 38. Texnika yulduzlari, 1–12.
MatchedFuzzy match, S = 1.00

[27] 27.
Mo'minov F.S. Masofaviy ta'lim platformasi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash // Xalq ta'limi. – 2018. – №2. – B. 69–112.
External source

[28] 28.
Boboyeva X.B. Kosmik suratlarni kriptografik protokollar yordamida tahlil qilish // Xalq ta'limi. – 2019. – №4. – B. 49–106.
Under review

[29] 29.
Tanaka H., Novak P. (1998). Teacher professional development in digital learning environments in developing countries. Agricultural Water Management, 83, 576–905. DOI: 10.1016/j.agwat.1998.387434
External source

[30] 30.
Bozorov D.F. Ijtimoiy tarmoq ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish // Til va adabiyot ta'limi. – 2014. – №5. – B. 41–68.
External source