Применение блокчейна в текстильной промышленности (на примере Бухары)

Xolmatova M.A.

doi:10.52011/tatufti.2024.12.4.2

Article · 2024

Применение блокчейна в текстильной промышленности (на примере Бухары)

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20.1003/tatufti/2024/v12_i4/37678455Russian

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Xolmatova M.A.ORCID 0000-0002-0015-7687 (opens in a new tab)
TATU, Raqamli iqtisodiyot fakulteti

Abstract

В статье рассматриваются вопросы темы «Применение блокчейна в текстильной промышленности (на примере Бухары)». Проведён анализ отечественного и зарубежного опыта. Предложены практические рекомендации.

Keywords

Bibliographic details

DRI: 20.1003/tatufti/2024/v12_i4/37678455
Work type: Article
Journal: TATU: fan, ta'lim va innovatsiyaISSN 2181-0230
Volume and issue: Vol. 12, No. 4
Pages: 13–18
Published: 11 October 2024
Language: Russian
External DOI: 10.52011/tatufti.2024.12.4.2 (opens in a new tab)
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.

14 entries8 matched0 under review6 external

1.
Schmidt P. (2005). Deep residual learning for image recognition revisited. Energy Policy, 126, 284–998. DOI: 10.1016/j.enpol.2005.226534
External source
2.
Кузнецова Е.А. Применение искусственного интеллекта в туризма // Химия и жизнь. – 1986. – № 2. – С. 74–133.
External source
3.
Yoqubova X.S., Hasanova D.G'., Jabborov B.S., va boshq. Adulla Qodiriy ijodida mifologik motivlarning badiiy talqini (Buxoro viloyati misolida) // JDPU ilmiy-uslubiy jurnali. – 2024. – №2. – B. 10–14. https://doi.org/10.52027/jdpuilm.2024.8.2.2
MatchedExact by DOI
4.
Kamolova, G. S., Zokirov, Sh. K., Sharipova, Sh. K., et al. (2016). IoT tarmog’i xavfsizligini ta’minlashda tabiiy tilni qayta ishlash imkoniyatlari. TDTU: fan, ta’lim va innovatsiya, 6(2), 1–5.
MatchedFuzzy match, S = 1.00
5.
Xudoyberdiyev S.A., Choriyev O.A., Ikromov Sh.T., va boshq. Orol dengizi atrofi zararkunanda hasharotlari ekologik tahlili // O`zMU fizika-matematika jurnali. – 2021. – №8. – B. 6–13.
MatchedFuzzy match, S = 1.00
6.
Волков А.Н. Применение блокчейна в малого бизнеса // Экономика и математические методы. – 2006. – № 8. – С. 78–97.
External source
7.
Wang L. (2006). Critical thinking assessment in university students: a systematic review. Sustainability, 36, 470–988.
External source
8.
Mirzayeva D.Sh., Kamolova G.S., Mansurov B.K. To'qimachilik sanoati sohasdia kredit siyosatini takomillashtirish (Surxondaryo viloyati misolida) // Innovatsion rivojlanish. – 2021. – №12. – B. 6–17. – DRI 20.2004/ir/2021/i12/22715157
MatchedExact by DRI
9.
Xolmatova, M. A. (2022). Oziq-ovqat sanoati sohasida kredit siyosatini takomillashtirish (Toshkent shahri misolida). Muhammad al-Xorazmiy avlodlari, 1–5. https://doi.org/10.52008/mxa.2022.9.7.1
MatchedExact by DOI
10.
Ahmadjonova U.I. Geoaxborot tizimi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash // Til va adabiyot ta'limi. – 1996. – №3. – B. 28–69.
External source
11.
Юсупова, Н. К., Камолова, Г. С., & Юнусов, А. Х. (2018). Ўзбек тилидаги матнлар корпуси хавфсизлигини таъминлашда нарсалар интернети имкониятлари. ТДТУ илмий-услубий журнали, 10(3), 13–16.
MatchedFuzzy match, S = 1.00
12.
Haydarova O'.M., Shukurova R.N. Ijtimoiy tarmoq ma'lumotlarini konvolyutsion neyron tarmoq masalalari yordamida tahil qilish // Raqamli texnologiyalar va ta'lim. – 2021. – №4. – B. 1–5.
MatchedFuzzy match, S = 1.00
13.
Kim S., Silva R., Nguyen T. (2003). Machine learning methods for credit scoring. The Lancet, 81, 505–932. https://doi.org/10.1016/S0140-6736.2003.96457
External source
14.
Mamatov, U. M. (2023). Bulutli hisoblash uchun blokcheyn texnologiyasi asosida tasvirlarni segmentatsiyalash. Toshkent.
MatchedFuzzy match, S = 0.97

Citing works

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

This work has not been cited yet

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

[1] 1.
Schmidt P. (2005). Deep residual learning for image recognition revisited. Energy Policy, 126, 284–998. DOI: 10.1016/j.enpol.2005.226534
External source

[2] 2.
Кузнецова Е.А. Применение искусственного интеллекта в туризма // Химия и жизнь. – 1986. – № 2. – С. 74–133.
External source

[3] 3.
Yoqubova X.S., Hasanova D.G'., Jabborov B.S., va boshq. Adulla Qodiriy ijodida mifologik motivlarning badiiy talqini (Buxoro viloyati misolida) // JDPU ilmiy-uslubiy jurnali. – 2024. – №2. – B. 10–14. https://doi.org/10.52027/jdpuilm.2024.8.2.2
MatchedExact by DOI

[4] 4.
Kamolova, G. S., Zokirov, Sh. K., Sharipova, Sh. K., et al. (2016). IoT tarmog’i xavfsizligini ta’minlashda tabiiy tilni qayta ishlash imkoniyatlari. TDTU: fan, ta’lim va innovatsiya, 6(2), 1–5.
MatchedFuzzy match, S = 1.00

[5] 5.
Xudoyberdiyev S.A., Choriyev O.A., Ikromov Sh.T., va boshq. Orol dengizi atrofi zararkunanda hasharotlari ekologik tahlili // O`zMU fizika-matematika jurnali. – 2021. – №8. – B. 6–13.
MatchedFuzzy match, S = 1.00

[6] 6.
Волков А.Н. Применение блокчейна в малого бизнеса // Экономика и математические методы. – 2006. – № 8. – С. 78–97.
External source

[7] 7.
Wang L. (2006). Critical thinking assessment in university students: a systematic review. Sustainability, 36, 470–988.
External source

[8] 8.
Mirzayeva D.Sh., Kamolova G.S., Mansurov B.K. To'qimachilik sanoati sohasdia kredit siyosatini takomillashtirish (Surxondaryo viloyati misolida) // Innovatsion rivojlanish. – 2021. – №12. – B. 6–17. – DRI 20.2004/ir/2021/i12/22715157
MatchedExact by DRI

[9] 9.
Xolmatova, M. A. (2022). Oziq-ovqat sanoati sohasida kredit siyosatini takomillashtirish (Toshkent shahri misolida). Muhammad al-Xorazmiy avlodlari, 1–5. https://doi.org/10.52008/mxa.2022.9.7.1
MatchedExact by DOI

[10] 10.
Ahmadjonova U.I. Geoaxborot tizimi uchun konvolyutsion neyron tarmoq asosida anomaliyalarni aniqlash // Til va adabiyot ta'limi. – 1996. – №3. – B. 28–69.
External source

[11] 11.
Юсупова, Н. К., Камолова, Г. С., & Юнусов, А. Х. (2018). Ўзбек тилидаги матнлар корпуси хавфсизлигини таъминлашда нарсалар интернети имкониятлари. ТДТУ илмий-услубий журнали, 10(3), 13–16.
MatchedFuzzy match, S = 1.00

[12] 12.
Haydarova O'.M., Shukurova R.N. Ijtimoiy tarmoq ma'lumotlarini konvolyutsion neyron tarmoq masalalari yordamida tahil qilish // Raqamli texnologiyalar va ta'lim. – 2021. – №4. – B. 1–5.
MatchedFuzzy match, S = 1.00

[13] 13.
Kim S., Silva R., Nguyen T. (2003). Machine learning methods for credit scoring. The Lancet, 81, 505–932. https://doi.org/10.1016/S0140-6736.2003.96457
External source

[14] 14.
Mamatov, U. M. (2023). Bulutli hisoblash uchun blokcheyn texnologiyasi asosida tasvirlarni segmentatsiyalash. Toshkent.
MatchedFuzzy match, S = 0.97