Elektron hukumat tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash

Karimov Xasan Mansurovich; Sh. Rahimov; Po'latova Yulduz Nuraliyevna; Umarov Botir

Article · 2024

Elektron hukumat tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash

Application of deep learning for image segmentation

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20.1006/ty/2024/i6/88532687Uzbek

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Authors

Karimov Xasan Mansurovich
TDTU, Kimyoviy texnologiya fakulteti
Sh. Rahimov ORCID 0000-0002-0017-9106 (opens in a new tab)
Ислом Каримов номидаги Тошкент давлат техника университети
Po'latova Yulduz Nuraliyevna ORCID 0000-0002-0018-0713 (opens in a new tab)
Ислом Каримов номидаги Тошкент давлат техника университети
Umarov Botir ORCID 0000-0002-0028-0183 (opens in a new tab)
Ташкентский архитектурно-строительный университет

Abstract

Ushbu maqolada «Elektron hukumat tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Natijalar elektron hukumat tizimi samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.1006/ty/2024/i6/88532687
Work type: Article
Journal: Texnika yulduzlariISSN 2181-0311
Volume and issue: No. 6
Pages: 11–15
Published: 30 June 2024
Language: Uzbek
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.

25 entries12 matched0 under review13 external

1.
Chen Y. (2014). Water use efficiency under deficit irrigation of cotton in developing countries. Journal of Economic Perspectives, 165, 194–946. DOI: 10.1257/jep.2014.642077
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Aliyeva F.N., Ergashev M.S. Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2019. – B. 12–14.
MatchedFuzzy match, S = 1.00→ Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish
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MatchedFuzzy match, S = 1.00
23.
Qosimov, O. R., Zokirov, D. Q., & Ibragimova, D. A. (2013). Masofaviy ta'lim platformasi uchun klasterlash algoritlmari asosida trafikni prognozlash. TATU: fan, ta'lim va innovatsiya, 1(4), 10–17. https://nationaldri.uz/20.1003/tatufti/2013/v1_i4/55254082
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Qosimov O.R., Normatov R.J. o'zbek tilidagi matnlar korpusi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // Muhammad al-Xorazmiy avlodlari. – 2021. – №7. – B. 5–13.
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25.
Mamatov, M. I. (2022). Elektron kutubxona xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. In «Energiya tejamkorligi va qayta tiklanuvchi manbalar» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 68–69). Toshkent.
MatchedFuzzy match, S = 1.00

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

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[1] 1.
Chen Y. (2014). Water use efficiency under deficit irrigation of cotton in developing countries. Journal of Economic Perspectives, 165, 194–946. DOI: 10.1257/jep.2014.642077
External source

[2] 2.
Aliyeva F.N., Ergashev M.S. Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2019. – B. 12–14.
MatchedFuzzy match, S = 1.00→ Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish

[3] 3.
Umarov B.Z., Tursunov J.Sh., Volkov A.N. Temir yo'l izi uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2018. – №4. – B. 1–4. – DRI 20.1001/tdpuia/2018/v8_i4/21406308
MatchedExact by DRI

[4] 4.
Martin C. (2002). Gamification in education: a systematic review: a systematic review. Physical Review B, 151, 661–930. DOI: 10.1103/PhysRevB.2002.61660
External source

[5] 5.
Nurmatov X.A. Tibbiy axborot tizimi uchun fuzzy logika asosida nutqni tanib olish. – Toshkent: Iqtisodiyot, 2009. – 155 b.
External source

[6] 6.
Kumar V., Tanaka H., Smith J. (2012). Renewable energy transition in Central Asia. Agricultural Water Management, 78, 203–945.
External source

[7] 7.
Иванов И.И. Применение больших данных в малого бизнеса // Физика твёрдого тела. – 2007. – № 10. – С. 40–134.
External source

[8] 8.
Rossi F., Kumar V., Schmidt P. (2006). Water use efficiency under deficit irrigation of cotton: a systematic review. Journal of Chemical Education, 111, 310–989.
External source

[9] 9.
Kamolova G.S. Sog'liqni sohasida katta ma'lumotlarni qo'llash: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 108 b.
External source

[10] 10.
O'zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 31-dekabrdagi 1059-son qarori. – Toshkent, 2019.
External source

[11] 11.
Lee J., Smith J. (2010). Teacher professional development in digital learning environments: a systematic review. Educational Psychology Review, 144, 731–968. https://doi.org/10.1007/s10648.2010.607344
External source

[12] 12.
Yunusov, A. X., Kamolova, G. S., Egamberdiyeva, Ch. K., et al. (2024). Применение искусственного интеллекта в текстильной промышленноси (на примере Хорезма) 82. TATU ilmiy-uslubiy jurnali, 11(2), 1–6. – DRI 20.1003/tatuilm/2024/v11_i2/50525231
MatchedExact by DRI

[13] 13.
Kim S. (2022). Blockchain applications in public administration. Journal of Economic Perspectives, 114, 352–936. https://doi.org/10.1257/jep.2022.614046
External source

[14] 14.
Anderson R. (2002). A meta-analysis of active learning in STEM education in developing countries. Physical Review B, 80, 367–976.
External source

[15] 15.
Кузнецова Е.А. Применение интернета вещей в текстильной промышленности // Физика твёрдого тела. – 2010. – № 1. – С. 41–109.
External source

[16] 16.
Ikromov Sh.T. Sovet davria Buxoro amirligida ijtimoiy-iqtisodiy hayoti // O`zMU xabarlari. – 2014. – №3. – B. 1–7.
MatchedFuzzy match, S = 1.00

[17] 17.
Ergasheva N.I. O'zbek tilidagi matnlar korpusi uchun transformer mdoeli asosida tavsiya tizimini yaratish // TATU ilmiy-uslubiy jurnali. – 2015. – №2. – B. 1–8.
MatchedFuzzy match, S = 1.00

[18] 18.
Umarov B.Z. Optimization of induction motors using genetic algorithms. – Toshkent: Innovatsiya, 2017. – 240 b.
MatchedFuzzy match, S = 1.00

[19] 19.
Berdiyev, Sh. K., Qurbonova, B. M., Oripov, S. Z., et al. (2014). On a nonlocal problem for a fractional differential equation. NamDU ilmiy-uslubiy jurnali, 1(4), 1–4.
MatchedFuzzy match, S = 1.00

[20] 20.
Смирнов Д.В. Применение блокчейна в банковской системы // Педагогика. – 1993. – № 8. – С. 81–114.
External source

[21] 21.
Jabborov, A. Sh. (2020). Geoaxborot tizimi uchun fuzzy logika asosida anomaliyalarni aniqlash. Muhammad al-Xorazmiy avlodlari, 7(6), 1–13.
MatchedFuzzy match, S = 1.00

[22] 22.
Kamolova, G. S., & Sharipov, K. M. (2023). Elektron hukumat tizimi xavfsizligini taʼminlashda kompyuter koʼrishi imkoniyatlari. Innovatsion rivojlanish, 1–9.
MatchedFuzzy match, S = 1.00

[23] 23.
Qosimov, O. R., Zokirov, D. Q., & Ibragimova, D. A. (2013). Masofaviy ta'lim platformasi uchun klasterlash algoritlmari asosida trafikni prognozlash. TATU: fan, ta'lim va innovatsiya, 1(4), 10–17. https://nationaldri.uz/20.1003/tatufti/2013/v1_i4/55254082
MatchedExact by DRI

[24] 24.
Qosimov O.R., Normatov R.J. o'zbek tilidagi matnlar korpusi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // Muhammad al-Xorazmiy avlodlari. – 2021. – №7. – B. 5–13.
MatchedFuzzy match, S = 1.00

[25] 25.
Mamatov, M. I. (2022). Elektron kutubxona xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. In «Energiya tejamkorligi va qayta tiklanuvchi manbalar» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 68–69). Toshkent.
MatchedFuzzy match, S = 1.00

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