Aqlli uy tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash

Kamolova G.S.

Dissertation · 2026

Aqlli uy tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash

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20.1006/diss/d2026/83845821Uzbek

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Kamolova G.S.ORCID 0000-0002-0018-5194 (opens in a new tab)
Ислом Каримов номидаги Тошкент давлат техника университети

Abstract

Ushbu maqolada «Aqlli uy tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash» mavzusi tahlil qilingan. Tadqiqot davomida 168 nafar respondent ishtirokida tajriba-sinov ishlari o'tkazildi. Olingan natijalar aqlli uy tizimi sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1006/diss/d2026/83845821
Work type: Dissertation
Published: 14 May 2026
Language: Uzbek
Subject: Axborot texnologiyalari
Passport mirror: synced 21/09/2026, 17:50, version 1

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References

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

26 entries13 matched0 under review13 external

1.
Kamolova, G. S., & Qurbonova, G. M. (2024). IoT tarmog'i uchun konvolyutsion neyron tarmoq asosiad ma'lumotlarni tasniflash (Navoiy viloyati misolida). TDTU ilmiy-uslubiy jurnali, 16(2), 53–58. DRI: 20.1006/tdtuilm/2024/v16_i2/34441866
MatchedExact by DRI→ IoT tarmog'i uchun konvolyutsion neyron tarmoq asosida ma'lumotlarni tasniflash (Navoiy viloyati misolida)
2.
Kamolova, G. S., Rasulova, M. J., Fayziyev, A. K., et al. (2019). Sensor ma'lumotlarini klasterlash algoritmlari yordamida tahlil iqlish. Texnika yulduzlari, 1–4. – DRI 20.1006/ty/2019/i11/99066746
MatchedExact by DRI→ Sensor ma'lumotlarini klasterlash algoritmlari yordamida tahlil qilish
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Ergasheva N.I., Aliyeva F.N., Jalilova D.T. Kosmik suratlarni o'rganish yordamida tahlil qilish // TATU axborotnomasi. – 2015. – №4. – B. 1–12.
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Ikromova, X. R., Husanova, Ch. D., Axmedova, Z. A., et al. (2017). Исследование люминесценции в полупроводниковых структурах (на примере Хорезма) 20. Agrar fanlar axborotnomasi, 5(2), 8–18.
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Rasulova B.Sh., Sobirov S.S., Po'latova Ch.J. Masofaviy ta'lim platformasi uchun blokcheyn texnologiyasi asosida nutqni tanib olish // TATU ilmiy-uslubiy jurnali. – 2025. – №4. – B. 13–20. URL: https://nationaldri.uz/20.1003/tatuilm/2025/v12_i4/16709357
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Hamroyev R.I. Application of transformer models for anomaly detection (case of Samarkand) // «Uzluksiz ta'lim tizimida innovatsion yondashuvlar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2026. – B. 101–102. URL: https://nationaldri.uz/20.2002/mkconf2026/2026/65404238
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Qosimov, O. R. (2017). Qishloq xo'jaligi sohasida kompyuter ko'rishini. TATU axborotnomasi, 5–14.
MatchedFuzzy match, S = 1.00
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Nguyen T. (2014). Economic growth and institutional quality in transition economies. World Development, 1, 200–988.
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Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
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Qosimov O.R. Masofaviy ta'lim platformasi uchun transformer modeli asosida tavsiya tizimini yaratish // TATU ilmiy-uslubiy jurnali. – 2024. – №1. – B. 13–24.
MatchedFuzzy match, S = 1.00
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Lee J., Kim S., Brown A. (2011). Financial inclusion and small business development revisited. The Lancet, 11, 371–911. DOI: 10.1016/S0140-6736.2011.587612
External source
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Kamolova, G. S., Hasanova, M. M., & Zaripov, Sh. R. (2020). O'zbek tilidagi matnlar korpusi uchun klasterlash algoritmlari asosida tasvirlarni segmentatsiyalash. Texnika yulduzlari, 8–14. URL: https://nationaldri.uz/20.1006/ty/2020/i5/71410105
MatchedExact by DRI
15.
Kamolova, G. S., Fayziyev, A. K., Kim, S., et al. (2025). Bank axborot tizimi uchun konvolyutsion neyron tarmoq asosida ma`lumotlarni tasniflash. TATU ilmiy-uslubiy jurnali, 12(2), 1–10.
MatchedFuzzy match, S = 1.00
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Smith J., Silva R. (2010). Renewable energy transition in Central Asia. Applied Linguistics, 8, 400–907. https://doi.org/10.1093/applin.2010.130127
External source
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Valiyeva G.A., Davletov S.X., Kenjayev B.G'. Investigation of photoconductivity in thin films (case of Tashkent) 6 // «Uzluksiz ta'lim tizimida innovatsion yondashuvlar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2025. – B. 129–131.
MatchedFuzzy match, S = 1.00
18.
O'zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 31-dekabrdagi 1059-son qarori. – Toshkent, 2019.
External source
19.
Кузнецова Е.А. Применение интернета вещей в текстильной промышленности // Вопросы истории. – 1998. – № 9. – С. 75–114.
External source
20.
Petrova A.S. Elektron hukumat tizimi uchun genetik algoritmlar asosida anomaliyalarni aniqlash // Xalq ta'limi. – 2014. – №1. – B. 50–110.
External source
21.
Abdullayeva O.I. Bank axborot tizimi uchun blokcheyn texnologiyasi asosida tasvirlarni segmentatsiyalash // Til va adabiyot ta'limi. – 2006. – №9. – B. 9–63.
External source
22.
Müller K., Tanaka H., Smith J. (2015). Renewable energy transition in Central Asia in developing countries. Journal of Economic Perspectives, 44, 852–951.
External source
23.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source
24.
Yusupov T.N. Tibbiy axborot tizimi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Til va adabiyot ta'limi. – 2018. – №6. – B. 3–76.
External source
25.
Smith J. (2024). Language learning motivation in higher education. Sustainability, 140, 116–984. https://doi.org/10.3390/su.2024.952742
External source
26.
Kamolova, G. S. (2017). Transport sohasida sunʻiy intellektni qoʻllash. In «Tibbiyotning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 62–63). Toshkent.
MatchedFuzzy match, S = 1.00

Citing works

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

[1] 1.
Kamolova, G. S., & Qurbonova, G. M. (2024). IoT tarmog'i uchun konvolyutsion neyron tarmoq asosiad ma'lumotlarni tasniflash (Navoiy viloyati misolida). TDTU ilmiy-uslubiy jurnali, 16(2), 53–58. DRI: 20.1006/tdtuilm/2024/v16_i2/34441866
MatchedExact by DRI→ IoT tarmog'i uchun konvolyutsion neyron tarmoq asosida ma'lumotlarni tasniflash (Navoiy viloyati misolida)

[2] 2.
Kamolova, G. S., Rasulova, M. J., Fayziyev, A. K., et al. (2019). Sensor ma'lumotlarini klasterlash algoritmlari yordamida tahlil iqlish. Texnika yulduzlari, 1–4. – DRI 20.1006/ty/2019/i11/99066746
MatchedExact by DRI→ Sensor ma'lumotlarini klasterlash algoritmlari yordamida tahlil qilish

[3] 3.
Ergasheva N.I., Aliyeva F.N., Jalilova D.T. Kosmik suratlarni o'rganish yordamida tahlil qilish // TATU axborotnomasi. – 2015. – №4. – B. 1–12.
MatchedFuzzy match, S = 1.00

[4] 4.
O'zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 31-dekabrdagi 1059-son qarori. – Toshkent, 2019.
External source

[5] 5.
Hamroyeva, M. B. (2013). Moliya sohasida kompyuter ko'rishini qo'llash. TDTU: fan, ta'lim va innovatsiya, 3(2), 21–33.
MatchedFuzzy match, S = 1.00

[6] 6.
Ikromova, X. R., Husanova, Ch. D., Axmedova, Z. A., et al. (2017). Исследование люминесценции в полупроводниковых структурах (на примере Хорезма) 20. Agrar fanlar axborotnomasi, 5(2), 8–18.
MatchedFuzzy match, S = 0.98

[7] 7.
Rasulova B.Sh., Sobirov S.S., Po'latova Ch.J. Masofaviy ta'lim platformasi uchun blokcheyn texnologiyasi asosida nutqni tanib olish // TATU ilmiy-uslubiy jurnali. – 2025. – №4. – B. 13–20. URL: https://nationaldri.uz/20.1003/tatuilm/2025/v12_i4/16709357
MatchedExact by DRI

[8] 8.
Hamroyev R.I. Application of transformer models for anomaly detection (case of Samarkand) // «Uzluksiz ta'lim tizimida innovatsion yondashuvlar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2026. – B. 101–102. URL: https://nationaldri.uz/20.2002/mkconf2026/2026/65404238
MatchedExact by DRI

[9] 9.
Qosimov, O. R. (2017). Qishloq xo'jaligi sohasida kompyuter ko'rishini. TATU axborotnomasi, 5–14.
MatchedFuzzy match, S = 1.00

[10] 10.
Nguyen T. (2014). Economic growth and institutional quality in transition economies. World Development, 1, 200–988.
External source

[11] 11.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[12] 12.
Qosimov O.R. Masofaviy ta'lim platformasi uchun transformer modeli asosida tavsiya tizimini yaratish // TATU ilmiy-uslubiy jurnali. – 2024. – №1. – B. 13–24.
MatchedFuzzy match, S = 1.00

[13] 13.
Lee J., Kim S., Brown A. (2011). Financial inclusion and small business development revisited. The Lancet, 11, 371–911. DOI: 10.1016/S0140-6736.2011.587612
External source

[14] 14.
Kamolova, G. S., Hasanova, M. M., & Zaripov, Sh. R. (2020). O'zbek tilidagi matnlar korpusi uchun klasterlash algoritmlari asosida tasvirlarni segmentatsiyalash. Texnika yulduzlari, 8–14. URL: https://nationaldri.uz/20.1006/ty/2020/i5/71410105
MatchedExact by DRI

[15] 15.
Kamolova, G. S., Fayziyev, A. K., Kim, S., et al. (2025). Bank axborot tizimi uchun konvolyutsion neyron tarmoq asosida ma`lumotlarni tasniflash. TATU ilmiy-uslubiy jurnali, 12(2), 1–10.
MatchedFuzzy match, S = 1.00

[16] 16.
Smith J., Silva R. (2010). Renewable energy transition in Central Asia. Applied Linguistics, 8, 400–907. https://doi.org/10.1093/applin.2010.130127
External source

[17] 17.
Valiyeva G.A., Davletov S.X., Kenjayev B.G'. Investigation of photoconductivity in thin films (case of Tashkent) 6 // «Uzluksiz ta'lim tizimida innovatsion yondashuvlar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2025. – B. 129–131.
MatchedFuzzy match, S = 1.00

[18] 18.
O'zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 31-dekabrdagi 1059-son qarori. – Toshkent, 2019.
External source

[19] 19.
Кузнецова Е.А. Применение интернета вещей в текстильной промышленности // Вопросы истории. – 1998. – № 9. – С. 75–114.
External source

[20] 20.
Petrova A.S. Elektron hukumat tizimi uchun genetik algoritmlar asosida anomaliyalarni aniqlash // Xalq ta'limi. – 2014. – №1. – B. 50–110.
External source

[21] 21.
Abdullayeva O.I. Bank axborot tizimi uchun blokcheyn texnologiyasi asosida tasvirlarni segmentatsiyalash // Til va adabiyot ta'limi. – 2006. – №9. – B. 9–63.
External source

[22] 22.
Müller K., Tanaka H., Smith J. (2015). Renewable energy transition in Central Asia in developing countries. Journal of Economic Perspectives, 44, 852–951.
External source

[23] 23.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[24] 24.
Yusupov T.N. Tibbiy axborot tizimi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Til va adabiyot ta'limi. – 2018. – №6. – B. 3–76.
External source

[25] 25.
Smith J. (2024). Language learning motivation in higher education. Sustainability, 140, 116–984. https://doi.org/10.3390/su.2024.952742
External source

[26] 26.
Kamolova, G. S. (2017). Transport sohasida sunʻiy intellektni qoʻllash. In «Tibbiyotning dolzarb muammolari» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 62–63). Toshkent.
MatchedFuzzy match, S = 1.00