Tibbiy axborot tizimi xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari

Yunusov G'ayrat Shoxrux o'g'li; G'aniyev Davron Doniyor o'g'li

Article · 2022

Tibbiy axborot tizimi xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari

Application of clustering algorithms for speech recognition

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20.1003/mxa/2022/v9_i12/47329463Uzbek

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Yunusov G'ayrat Shoxrux o'g'li ORCID 0000-0002-0015-3766 (opens in a new tab)
TATU
G'aniyev Davron Doniyor o'g'lino linked profile
TATU, Axborot texnologiyalari fakulteti

Abstract

Ushbu maqolada «Tibbiy axborot tizimi xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari» mavzusi tahlil qilingan. Tadqiqot davomida 294 nafar respondent ishtirokida tajriba-sinov ishlari o'tkazildi. Muallif tomonidan tibbiy axborot tizimi bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1003/mxa/2022/v9_i12/47329463
Work type: Article
Journal: Muhammad al-Xorazmiy avlodlariISSN 2181-0176
Volume and issue: Vol. 9, No. 12
Pages: 8–11
Published: 31 December 2022
Language: Uzbek
Passport mirror: synced 21/09/2026, 16:49, version 1

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References

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

20 entries9 matched1 under review10 external

1.
Камолова, Г. С., Эргашев, З. И., & Кузнетсова, Й. А. (2019). Ақлли уй тизими учун конволютсион нейрон тармоқ асосида тавсия тизимини яратиш. ТДТУ: фан, таълим ва инноватсия, 9(2), 29–39.
MatchedFuzzy match, S = 1.00→ Aqlli uy tizimi uchun konvolyutsion neyron tarmoq asosida tavsiya tizimini yaratish
2.
G'aniyev, D. D., & Volkov, A. N. (2020). Применение интернета вещей в банковской системы (на примере Ферганы). TATU axborotnomasi, 1–9. URL: https://nationaldri.uz/20.1003/tatuax/2020/i1/97059172
MatchedExact by DRI→ Применение интернета вещей в банковской системы (на примере Ферганы)
3.
Камолова Г.С., Назарова И.Р., Икромов Ф.С., ва бошқ. Применение данных в банковской системы // ТАТУ илмий-услубий журнали. – 2017. – №2. – Б. 6–10.
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Kamolova G.S., Ro'ziyeva O'.U. Bank axborot tizimi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari // TDTU ilmiy-uslubiy jurnali. – 2021. – B. 1–6. DRI: 20.1006/91096005
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Волков А.Н. Применение интернета вещей в текстильной промышленности. – М.: Наука, 1991. – 154 с.
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Qosimov O.R., Hamroyeva M.B., Rustamova N.D. O'zbek tilidagi matnlarni chuqur o'rganish yordamida tahlil qilish // «Ta'limda raqamli transformatsiya: muammolar va yechimlar» mavzusidagi xalqaro ilmiy-amaliy konferensiya materiallari. – Toshkent, 2019. – B. 32–33. – DRI 20.2002/mkconf2019/2019/57801084
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Hamroyeva M.B. Bulutli hisoblash muhiti xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2016. – B. 1–3.
MatchedFuzzy match, S = 1.00
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Chen Y. (2003). Deep residual learning for image recognition. Computers & Education, 30, 833–982.
External source
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Mamatov M.I., Eshmatova Sh.I. Tibbiy tasvirlarni transformer modeli yordamida tahlil iqlish // TATU ilmiy-uslubiy jurnali. – 2015. – №2. – B. 9–14. https://nationaldri.uz/20.1003/tatuilm/2015/v2_i2/35307209
MatchedExact by DRI
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Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source
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Xamidov D.F. tibbiy axborot tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash (Farg'ona viloyati misolida) // Xalq ta'limi. – 2013. – №1. – B. 31–103.
External source
19.
Tanaka H., Anderson R., Lee J. (2019). Teacher professional development in digital learning environments: evidence from panel data. World Development, 174, 380–905. https://doi.org/10.1016/j.worlddev.2019.273256
External source
20.
Durdiyev, I. Z., & Komilov, Sh. G'. (2020). Aqlli uy tizimi uchun klasterlash algoritmlari asosida nutqni tanib olish. In «Matematik fizika va tegishli muammolar» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 1–2). Toshkent.
MatchedFuzzy match, S = 1.00

Citing works

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

Aqlli uy tizimi uchun blokcheyn texnologiyasi asosida tavsiya tizimini yaratish
Authors: Normatov Rustam Javlon o'g'li, Ergashev Muzaffar, Volkov Andrey, Olimov T.D.Muhammad al-Xorazmiy avlodlari
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Year2024
Citations3
Elektron kutubxona uchun genetik algoritmlar asosida anomaliyalarni aniqlash
Authors: Юсупова Нафиса Камол қизи
DRI20.1006/diss/d2023/14616414 Open on nationaldri.uzDissertation1views0downloads
Year2023
Citations2

[1] 1.
Камолова, Г. С., Эргашев, З. И., & Кузнетсова, Й. А. (2019). Ақлли уй тизими учун конволютсион нейрон тармоқ асосида тавсия тизимини яратиш. ТДТУ: фан, таълим ва инноватсия, 9(2), 29–39.
MatchedFuzzy match, S = 1.00→ Aqlli uy tizimi uchun konvolyutsion neyron tarmoq asosida tavsiya tizimini yaratish

[2] 2.
G'aniyev, D. D., & Volkov, A. N. (2020). Применение интернета вещей в банковской системы (на примере Ферганы). TATU axborotnomasi, 1–9. URL: https://nationaldri.uz/20.1003/tatuax/2020/i1/97059172
MatchedExact by DRI→ Применение интернета вещей в банковской системы (на примере Ферганы)

[3] 3.
Камолова Г.С., Назарова И.Р., Икромов Ф.С., ва бошқ. Применение данных в банковской системы // ТАТУ илмий-услубий журнали. – 2017. – №2. – Б. 6–10.
Under review

[4] 4.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source

[5] 5.
Ushinskiy K.D. Tanlangan pedagogik asarlar. – Toshkent: O'qituvchi, 1968. – 380 b.
External source

[6] 6.
Ibragimov, E. A., Tursunov, S. D., Komilov, I. Y., et al. (2020). O'zbek tilidagi matnlar korpusi uchun chuqur o'rganish asosida nutqni tanib olish. TATU axborotnomasi, 1–13.
MatchedFuzzy match, S = 1.00

[7] 7.
Wang L. (2013). Deep residual learning for image recognition. The Lancet, 88, 145–997. DOI: 10.1016/S0140-6736.2013.295304
External source

[8] 8.
Kamolova G.S., Ro'ziyeva O'.U. Bank axborot tizimi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari // TDTU ilmiy-uslubiy jurnali. – 2021. – B. 1–6. DRI: 20.1006/91096005
MatchedExact by DRI

[9] 9.
Волков А.Н. Применение интернета вещей в текстильной промышленности. – М.: Наука, 1991. – 154 с.
External source

[10] 10.
Qosimov O.R., Hamroyeva M.B., Rustamova N.D. O'zbek tilidagi matnlarni chuqur o'rganish yordamida tahlil qilish // «Ta'limda raqamli transformatsiya: muammolar va yechimlar» mavzusidagi xalqaro ilmiy-amaliy konferensiya materiallari. – Toshkent, 2019. – B. 32–33. – DRI 20.2002/mkconf2019/2019/57801084
MatchedExact by DRI

[11] 11.
Kim S., Chen Y. (2000). Financial inclusion and small business development in developing countries. The Lancet, 113, 557–933. https://doi.org/10.1016/S0140-6736.2000.581184
External source

[12] 12.
Valiyev G'.J., Olimov G'.P., Ahmadjonov V.Sh., va boshq. Sog'liqni saqlash sohasida blokcheyni qo'llash // Fan-sportga. – 2015. – №4. – B. 1–12.
MatchedFuzzy match, S = 1.00

[13] 13.
Anderson R., Garcia L. (2009). Critical thinking assessment in university students in developing countries. Computers & Education, 99, 311–968. DOI: 10.1016/j.compedu.2009.11920
External source

[14] 14.
Hamroyeva M.B. Bulutli hisoblash muhiti xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2016. – B. 1–3.
MatchedFuzzy match, S = 1.00

[15] 15.
Chen Y. (2003). Deep residual learning for image recognition. Computers & Education, 30, 833–982.
External source

[16] 16.
Mamatov M.I., Eshmatova Sh.I. Tibbiy tasvirlarni transformer modeli yordamida tahlil iqlish // TATU ilmiy-uslubiy jurnali. – 2015. – №2. – B. 9–14. https://nationaldri.uz/20.1003/tatuilm/2015/v2_i2/35307209
MatchedExact by DRI

[17] 17.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source

[18] 18.
Xamidov D.F. tibbiy axborot tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash (Farg'ona viloyati misolida) // Xalq ta'limi. – 2013. – №1. – B. 31–103.
External source

[19] 19.
Tanaka H., Anderson R., Lee J. (2019). Teacher professional development in digital learning environments: evidence from panel data. World Development, 174, 380–905. https://doi.org/10.1016/j.worlddev.2019.273256
External source

[20] 20.
Durdiyev, I. Z., & Komilov, Sh. G'. (2020). Aqlli uy tizimi uchun klasterlash algoritmlari asosida nutqni tanib olish. In «Matematik fizika va tegishli muammolar» mavzusidagi xalqaro ilmiy-amaliy konferensiya (pp. 1–2). Toshkent.
MatchedFuzzy match, S = 1.00