Tibbiy axborot tizimi uchun konvolyutsion neyron tarmoq asosida nutqni tanib olish

Jabborov Botir Sayfulla o'g'li; Mamatov Muzaffar; G'aniyev Rahim; Zokirov Doniyor

doi:10.52011/tatufti.2026.14.2.5

Article · 2026

Tibbiy axborot tizimi uchun konvolyutsion neyron tarmoq asosida nutqni tanib olish

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20.1003/tatufti/2026/v14_i2/88490798Uzbek

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Authors

Jabborov Botir Sayfulla o'g'li ORCID 0000-0002-0015-8313 (opens in a new tab)
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
Mamatov Muzaffar ORCID 0000-0002-0015-2368 (opens in a new tab)
Муҳаммад ал-Хоразмий номидаги Тошкент ахборот технологиялари университети
G'aniyev Rahim ORCID 0000-0002-0015-5446 (opens in a new tab)
Tashkent University of Information Technologies named after Muhammad al-KhwarizmiTATU, Telekommunikatsiya texnologiyalari fakulteti
Zokirov Doniyor ORCID 0000-0002-0015-8380 (opens in a new tab)
Муҳаммад ал-Хоразмий номидаги Тошкент ахборот технологиялари университети

Abstract

Ushbu maqolada «Tibbiy axborot tizimi uchun konvolyutsion neyron tarmoq asosida nutqni tanib olish» mavzusi tahlil qilingan. Muammoning nazariy asoslari va amaliy jihatlari yoritilgan. Olingan natijalar tibbiy axborot tizimi sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1003/tatufti/2026/v14_i2/88490798
Work type: Article
Journal: TATU: fan, ta'lim va innovatsiyaISSN 2181-0230
Volume and issue: Vol. 14, No. 2
Pages: 38–49
Published: 11 May 2026
Language: Uzbek
External DOI: 10.52011/tatufti.2026.14.2.5 (opens in a new tab)
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.

14 entries5 matched2 under review7 external

1.
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. – DRI 20.1007/farduconf2022/2022/14583379
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Kamolova G.S. Sog'liqni saqlash sohasida katta ma'lumotlarni qo'llash: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 74 b.
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Волков А.Н. Применение искусственного интеллекта в текстильной промышленности. – М.: Наука, 2016. – 412 с.
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Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
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Jabborov B.S., Mamatov U.M., Mamatova M.B. Moliya sohasida katta ma`lumotlanri qo`llash // TATU ilmiy-uslubiy jurnali. – 2021. – №3. – B. 13–25.
MatchedFuzzy match, S = 1.00

Citing works

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

IoT tarmog'i uchun genetik algoritmlar asosida trafikni prognozlash
Authors: Kamolova Gulnora Salim qiziMuhammad al-Xorazmiy avlodlari
DRI20.1003/mxa/2026/v13_i8/87702479 Open on nationaldri.uzArticle1views0downloads
Year2026
Citations0

[1] 1.
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. – DRI 20.1007/farduconf2022/2022/14583379
MatchedExact by DRI→ Elektron hukumat tizimi uchun klasterlash algoritmlari asosida ma'lumotlarni tasniflash

[2] 2.
Chen Y., Schmidt P. (2016). Blockchain applications in public administration. Energy Policy, 116, 708–998. https://doi.org/10.1016/j.enpol.2016.386822
External source

[3] 3.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[4] 4.
Qosimova M.A., Ivanov I.I., Toʼxtayev I.R. Oʼzbekiston iqtisodiyotida bozorining oʼrni va rivojlanish istiqbollari (Toshkent viloyati misolida) // «Yangi Oʼzbekiston iqtisodiyotini modernizatsiyalash istiqbollari» mavzusidagi xalqaro ilmiy-amaliy konferensiya materiallari. – Toshkent, 2023. – B. 1–3.
Under review

[5] 5.
Wang L. Sog'liqni saqlash sohasida sun'iy intellektni qo'llash. – Toshkent: Adabiyot uchqunlari, 1997. – 106 b.
External source

[6] 6.
Eshmatov O.I., G'aniyev R.Sh. Aqlli uy tizimi uchun kriptografik protokollar asosida trafikni prognozlash // O'zbekiston fizika jurnali. – 2025. – №1. – B. 14–23. URL: https://nationaldri.uz/20.2001/ufj/2025/v8_i1/38644914
MatchedExact by DRI

[7] 7.
Қосимов О.Р., Тошматов Ш.О., Расулова Б.Ш. Электрон кутубхона учун чуқур ўрганиш асосида трафикни прогнозлаш // Муҳаммад ал-Хоразмий авлодлари. – 2023. – №1. – Б. 6–16.
MatchedFuzzy match, S = 1.00

[8] 8.
Müller K., Garcia L., Novak P. (2002). Clinical outcomes of metformin therapy in type 2 diabetes: a systematic review. Computers & Education, 83, 74–942. https://doi.org/10.1016/j.compedu.2002.884137
External source

[9] 9.
Kamolova G.S. Sog'liqni saqlash sohasida katta ma'lumotlarni qo'llash: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 74 b.
Under review

[10] 10.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source

[11] 11.
Kamolova, G. S., & Sultonov, K. M. (2019). Masofaviy ta'ilm platformasi uchun chuqur o'rganish asosida anomaliyalarni aniqlash. Muhammad al-Xorazmiy avlodlari, 6(3), 1–6.
MatchedFuzzy match, S = 1.00

[12] 12.
Волков А.Н. Применение искусственного интеллекта в текстильной промышленности. – М.: Наука, 2016. – 412 с.
External source

[13] 13.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[14] 14.
Jabborov B.S., Mamatov U.M., Mamatova M.B. Moliya sohasida katta ma`lumotlanri qo`llash // TATU ilmiy-uslubiy jurnali. – 2021. – №3. – B. 13–25.
MatchedFuzzy match, S = 1.00

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