Elektron kutubxona uchun blokcheyn texnologiyasi asosida ma'lumotlarni tasniflash

Mirzayeva Nilufar Davron qizi; Zulfiya Kamolova; Жабборов Нуриддин Улуғбек ўғли

Abstract · 2021

Elektron kutubxona uchun blokcheyn texnologiyasi asosida ma'lumotlarni tasniflash

Application of convolutional neural networks for speech recognition

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20.1006/tdtuconf2021/2021/65373642Uzbek

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Authors

Mirzayeva Nilufar Davron qizi ORCID 0000-0002-0018-0924 (opens in a new tab)
Ислом Каримов номидаги Тошкент давлат техника университети
Zulfiya Kamolovano linked profile
O'zR FA Yadro fizikasi instituti
Жабборов Нуриддин Улуғбек ўғлиno linked profile
TDTU

Abstract

Ushbu maqolada «Elektron kutubxona uchun blokcheyn texnologiyasi asosida ma'lumotlarni tasniflash» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Muallif tomonidan elektron kutubxona bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1006/tdtuconf2021/2021/65373642
Work type: Abstract
Pages: 28–29
Published: 6 August 2021
Language: Uzbek
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:48, version 2

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References

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

10 entries7 matched0 under review3 external

1.
Tanaka H. Kosmik suratlarni kriptografik protokollar yordamida tahlil qilish // Til va adabiyot ta'limi. – 2011. – №7. – B. 57–75.
External source
2.
Mirzayeva Z.V. SAMARQAND VILOYATI FARMATSEVTIKA INVESTITSION JOZIBADORLIGINI BAHOLASH // TerDU ilmiy axborotnomasi. – 2012. – №9. – B. 1–5.
MatchedFuzzy match, S = 1.00→ Samarqand viloyati farmatsevtika investitsion jozibadorligini baholash
3.
Kamolova G.S., Jabborov N.U., Garcia L., va boshq. Davlat boshqaruvi sohasida katta ma'lumotlarni qo'llash // TDTU: fan, ta'lim va innovatsiya. – 2018. – №1. – B. 38–44. https://nationaldri.uz/20.1006/tdtufti/2018/v8_i1/19462337
MatchedExact by DRI
4.
Qosimov O.R., Latipov K.O. Sensor ma'lumotlarini transformer modeli yordamida tahlil qilish // Muhammad al-Xorazmiy avlodlari. – 2018. – №5. – B. 5–8.
MatchedFuzzy match, S = 1.00
5.
Rasulov, S. U., & Olimov, Sh. A. (2017). Geoaxborot tizimi xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. Muhammad al-Xorazmiy avlodlari, 4(10), 10–21.
MatchedFuzzy match, S = 1.00
6.
Rasulov, S. U. (2019). Применение интернета вещей в малого бизнеса (на примере Хорезма). In «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 9–10). Toshkent. – DRI 20.2002/mkfan2019/2019/40822832
MatchedExact by DRI
7.
Nguyen T., Novak P., Rossi F. (2012). Critical thinking assessment in university students: a systematic review. Applied Linguistics, 125, 280–930.
External source
8.
Tanaka H., Wang L. (2000). Machine learning methods for credit scoring. Energy Policy, 150, 800–976. DOI: 10.1016/j.enpol.2000.974847
External source
9.
Mirzayeva, N. D., Fayziyev, A. K., & Eshmatova, G. A. (2021). Asinxron dvigtel ishonchliligini sonli usullar bilan baholash. Texnika yulduzlari, 1–4.
MatchedFuzzy match, S = 1.00
10.
Ikromova S.G'., Hasanova U.I., G'aniyev M.S. Sho'rlangan tuproqlarda g'o'za yetishtirishning samarali usullari. – Toshkent: ToshDAU, 2016. – 131 b. URL: https://nationaldri.uz/20.1016/books/b2016/69369277
MatchedExact by DRI

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

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Citations2

[1] 1.
Tanaka H. Kosmik suratlarni kriptografik protokollar yordamida tahlil qilish // Til va adabiyot ta'limi. – 2011. – №7. – B. 57–75.
External source

[2] 2.
Mirzayeva Z.V. SAMARQAND VILOYATI FARMATSEVTIKA INVESTITSION JOZIBADORLIGINI BAHOLASH // TerDU ilmiy axborotnomasi. – 2012. – №9. – B. 1–5.
MatchedFuzzy match, S = 1.00→ Samarqand viloyati farmatsevtika investitsion jozibadorligini baholash

[3] 3.
Kamolova G.S., Jabborov N.U., Garcia L., va boshq. Davlat boshqaruvi sohasida katta ma'lumotlarni qo'llash // TDTU: fan, ta'lim va innovatsiya. – 2018. – №1. – B. 38–44. https://nationaldri.uz/20.1006/tdtufti/2018/v8_i1/19462337
MatchedExact by DRI

[4] 4.
Qosimov O.R., Latipov K.O. Sensor ma'lumotlarini transformer modeli yordamida tahlil qilish // Muhammad al-Xorazmiy avlodlari. – 2018. – №5. – B. 5–8.
MatchedFuzzy match, S = 1.00

[5] 5.
Rasulov, S. U., & Olimov, Sh. A. (2017). Geoaxborot tizimi xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. Muhammad al-Xorazmiy avlodlari, 4(10), 10–21.
MatchedFuzzy match, S = 1.00

[6] 6.
Rasulov, S. U. (2019). Применение интернета вещей в малого бизнеса (на примере Хорезма). In «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 9–10). Toshkent. – DRI 20.2002/mkfan2019/2019/40822832
MatchedExact by DRI

[7] 7.
Nguyen T., Novak P., Rossi F. (2012). Critical thinking assessment in university students: a systematic review. Applied Linguistics, 125, 280–930.
External source

[8] 8.
Tanaka H., Wang L. (2000). Machine learning methods for credit scoring. Energy Policy, 150, 800–976. DOI: 10.1016/j.enpol.2000.974847
External source

[9] 9.
Mirzayeva, N. D., Fayziyev, A. K., & Eshmatova, G. A. (2021). Asinxron dvigtel ishonchliligini sonli usullar bilan baholash. Texnika yulduzlari, 1–4.
MatchedFuzzy match, S = 1.00

[10] 10.
Ikromova S.G'., Hasanova U.I., G'aniyev M.S. Sho'rlangan tuproqlarda g'o'za yetishtirishning samarali usullari. – Toshkent: ToshDAU, 2016. – 131 b. URL: https://nationaldri.uz/20.1016/books/b2016/69369277
MatchedExact by DRI

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