Aqlli uy tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash

Kamolova Gulnora

Dissertation · 2025

Aqlli uy tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash

Application of transformer models for anomaly detection

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20.1006/diss/d2025/20447644Uzbek

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Authors

Kamolova Gulnorano linked profile
TDTU, Axborot texnologiyalari fakulteti

Abstract

Ushbu maqolada «Aqlli uy tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash» mavzusi tahlil qilingan. Muammoning nazariy asoslari va amaliy jihatlari yoritilgan. Olingan natijalar aqlli uy tizimi sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1006/diss/d2025/20447644
Work type: Dissertation
Published: 30 June 2025
Language: Uzbek
Passport mirror: synced 21/09/2026, 16:51, version 1

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Excluding self-citations: 1

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References

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

25 entries9 matched2 under review14 external

1.
Silva R., Garcia L. (2008). Critical thinking assessment in university students. Computers & Education, 170, 516–944. DOI: 10.1016/j.compedu.2008.837324
External source
2.
Смирнов Д.В. Применение искусственного интеллекта в туризма // Химия и жизнь. – 2016. – № 11. – С. 71–110.
External source
3.
Hakimova, G. M., Toshmatova, D. A., Mo'minov, D. A., et al. (2019). The hitsory of crafts in Central Asia (case of Samarkand) 97. Til va adabiyot ta'limi, 1–7.
MatchedFuzzy match, S = 1.00
4.
Tanaka H. Ijtimoiy tarmoq ma'lumotlarini konvolyutsion neyron tarmoq yordamida tahlil qilish // Til va adabiyot ta'limi. – 2019. – №9. – B. 52–62.
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5.
Xolmatova M.A., Shukurov A.G'., Abdurahmonova Sh.G'. O'zbek tilidagi matnlarni genetik algoritmlar yordamida tahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2017. – №4. – B. 12–18. URL: https://nationaldri.uz/20.1003/tatufti/2017/v5_i4/72695433
MatchedExact by DRI
6.
Normatova, S. I., & Kamolova, G. S. (2021). Shamol generatori ish rejimini eksperimental tadqiqot yordamida optimallashtirish. Texnika yulduzlari, 23–32.
MatchedFuzzy match, S = 1.00
7.
Kamolova, G. S., & Ikromov, F. S. (2021). Tibbiy axborot tizimi uchun chuqur o’rganish asosida trafikni prognozlash. TATU ilmiy-uslubiy jurnali, 8(3), 26–33.
MatchedFuzzy match, S = 1.00
8.
Petrova A.S. Masofaviy ta'lim platformasi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari. – Toshkent: O‘qituvchi, 1995. – 284 b.
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Eshmatov M.L. Masofaviy ta'lim platformasi uchun chuqur o'rganish asosida trafikni prognozlash // Xalq ta'limi. – 2022. – №6. – B. 50–99.
External source
10.
Petrova A.S. Elektron hukumat tizimi uchun chuqur o'rganish asosida nutqni tanib olish // Xalq ta'limi. – 2021. – №4. – B. 44–120.
External source
11.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source
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Bloom B.S. Taxonomy of Educational Objectives. – New York: Longman, 1956. – 207 p.
External source
13.
Kamolova G.S. Bulutli hisoblash muhiti uchun fuzzy logika asosida ma'lumotlarni tasniflash // TATU: fan, ta'lim va innovatsiya. – 2021. – №2. – B. 33–38. https://nationaldri.uz/20.1003/tatufti/2021/v9_i2/59850888
MatchedExact by DRI
14.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source
15.
Kamolova G.S. Masofaviy platformasi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2022. – 85 b.
Under review
16.
Yusupova M.A. Moliya sohasida tabiiy tilni qayta ishlashni qo'llash. – Toshkent: Fan, 2016. – 172 b.
External source
17.
Toshmatova, D. A., Umarov, J. A., & Hakimova, G. M. (2022). Xorazmda qadimgi shaharlari zamonaviy bo'yicha tadqiqotlar (Qoraqalpog'iston Respublikasi misolida). In «Uzluksiz ta'lim tizimida innovatsion yondashuvlar» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 109–112). Toshkent.
Under review
18.
Qosimov O.R., Zokirov D.Q., Karimova O'.A. Bank tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash // Muhammad al-Xorazmiy avlodlari. – 2020. – №12. – B. 1–10.
MatchedFuzzy match, S = 1.00
19.
Qosimov O.R., G'afurova S.Sh. Geoaxborot tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 16–24.
MatchedFuzzy match, S = 1.00
20.
Kamolova G.S. Sensor ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish (Jizzax viloyati misolida): fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2025. – 60 b. – DRI 20.1006/diss/d2025/77319271
MatchedExact by DRI
21.
Rossi F., Müller K., Chen Y. (2020). Soil salinity mapping using remote sensing data in developing countries. Energy Policy, 177, 121–947. https://doi.org/10.1016/j.enpol.2020.14374
External source
22.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source
23.
Schmidt P., Johnson M. (2018). Critical thinking assessment in university students: a systematic review. Energy Policy, 173, 293–961. https://doi.org/10.1016/j.enpol.2018.959070
External source
24.
Петрова А.С. Применение блокчейна в малого бизнеса. – М.: Наука, 1986. – 391 с.
External source
25.
Kamolova G.S., Sharipov K.M. Elektron hukumat tizimi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // Innovatsion rivojlanish. – 2023. – №2. – B. 1–9.
MatchedFuzzy match, S = 1.00

Citing works

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

Authors: , TDTU: fan, ta'lim va innovatsiya
DRI20.1006/tdtufti/2026/v16_i2/47041144 Open on nationaldri.uzArticle1views0downloads
Year2026
Citations0

[1] 1.
Silva R., Garcia L. (2008). Critical thinking assessment in university students. Computers & Education, 170, 516–944. DOI: 10.1016/j.compedu.2008.837324
External source

[2] 2.
Смирнов Д.В. Применение искусственного интеллекта в туризма // Химия и жизнь. – 2016. – № 11. – С. 71–110.
External source

[3] 3.
Hakimova, G. M., Toshmatova, D. A., Mo'minov, D. A., et al. (2019). The hitsory of crafts in Central Asia (case of Samarkand) 97. Til va adabiyot ta'limi, 1–7.
MatchedFuzzy match, S = 1.00

[4] 4.
Tanaka H. Ijtimoiy tarmoq ma'lumotlarini konvolyutsion neyron tarmoq yordamida tahlil qilish // Til va adabiyot ta'limi. – 2019. – №9. – B. 52–62.
External source

[5] 5.
Xolmatova M.A., Shukurov A.G'., Abdurahmonova Sh.G'. O'zbek tilidagi matnlarni genetik algoritmlar yordamida tahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2017. – №4. – B. 12–18. URL: https://nationaldri.uz/20.1003/tatufti/2017/v5_i4/72695433
MatchedExact by DRI

[6] 6.
Normatova, S. I., & Kamolova, G. S. (2021). Shamol generatori ish rejimini eksperimental tadqiqot yordamida optimallashtirish. Texnika yulduzlari, 23–32.
MatchedFuzzy match, S = 1.00

[7] 7.
Kamolova, G. S., & Ikromov, F. S. (2021). Tibbiy axborot tizimi uchun chuqur o’rganish asosida trafikni prognozlash. TATU ilmiy-uslubiy jurnali, 8(3), 26–33.
MatchedFuzzy match, S = 1.00

[8] 8.
Petrova A.S. Masofaviy ta'lim platformasi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari. – Toshkent: O‘qituvchi, 1995. – 284 b.
External source

[9] 9.
Eshmatov M.L. Masofaviy ta'lim platformasi uchun chuqur o'rganish asosida trafikni prognozlash // Xalq ta'limi. – 2022. – №6. – B. 50–99.
External source

[10] 10.
Petrova A.S. Elektron hukumat tizimi uchun chuqur o'rganish asosida nutqni tanib olish // Xalq ta'limi. – 2021. – №4. – B. 44–120.
External source

[11] 11.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source

[12] 12.
Bloom B.S. Taxonomy of Educational Objectives. – New York: Longman, 1956. – 207 p.
External source

[13] 13.
Kamolova G.S. Bulutli hisoblash muhiti uchun fuzzy logika asosida ma'lumotlarni tasniflash // TATU: fan, ta'lim va innovatsiya. – 2021. – №2. – B. 33–38. https://nationaldri.uz/20.1003/tatufti/2021/v9_i2/59850888
MatchedExact by DRI

[14] 14.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[15] 15.
Kamolova G.S. Masofaviy platformasi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2022. – 85 b.
Under review

[16] 16.
Yusupova M.A. Moliya sohasida tabiiy tilni qayta ishlashni qo'llash. – Toshkent: Fan, 2016. – 172 b.
External source

[17] 17.
Toshmatova, D. A., Umarov, J. A., & Hakimova, G. M. (2022). Xorazmda qadimgi shaharlari zamonaviy bo'yicha tadqiqotlar (Qoraqalpog'iston Respublikasi misolida). In «Uzluksiz ta'lim tizimida innovatsion yondashuvlar» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 109–112). Toshkent.
Under review

[18] 18.
Qosimov O.R., Zokirov D.Q., Karimova O'.A. Bank tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash // Muhammad al-Xorazmiy avlodlari. – 2020. – №12. – B. 1–10.
MatchedFuzzy match, S = 1.00

[19] 19.
Qosimov O.R., G'afurova S.Sh. Geoaxborot tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 16–24.
MatchedFuzzy match, S = 1.00

[20] 20.
Kamolova G.S. Sensor ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish (Jizzax viloyati misolida): fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2025. – 60 b. – DRI 20.1006/diss/d2025/77319271
MatchedExact by DRI

[21] 21.
Rossi F., Müller K., Chen Y. (2020). Soil salinity mapping using remote sensing data in developing countries. Energy Policy, 177, 121–947. https://doi.org/10.1016/j.enpol.2020.14374
External source

[22] 22.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[23] 23.
Schmidt P., Johnson M. (2018). Critical thinking assessment in university students: a systematic review. Energy Policy, 173, 293–961. https://doi.org/10.1016/j.enpol.2018.959070
External source

[24] 24.
Петрова А.С. Применение блокчейна в малого бизнеса. – М.: Наука, 1986. – 391 с.
External source

[25] 25.
Kamolova G.S., Sharipov K.M. Elektron hukumat tizimi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // Innovatsion rivojlanish. – 2023. – №2. – B. 1–9.
MatchedFuzzy match, S = 1.00

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