Применение блокчейна в текстильной промышленности (на примере Ферганы) 76

Jabborov Botir

doi:10.52010/tatuilm.2022.9.1.3

Article · 2022

Применение блокчейна в текстильной промышленности (на примере Ферганы) 76

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20.1003/tatuilm/2022/v9_i1/49312520Russian

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Jabborov Botir ORCID 0000-0002-0015-8313 (opens in a new tab)
TATU

Abstract

В статье рассматриваются вопросы темы «Применение блокчейна в текстильной промышленности (на примере Ферганы) 76». Проведён анализ отечественного и зарубежного опыта. Предложены практические рекомендации.

Keywords

Bibliographic details

DRI: 20.1003/tatuilm/2022/v9_i1/49312520
Work type: Article
Journal: TATU ilmiy-uslubiy jurnaliISSN 2181-0214
Volume and issue: Vol. 9, No. 1
Pages: 16–28
Published: 7 February 2022
Language: Russian
External DOI: 10.52010/tatuilm.2022.9.1.3 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:49, version 2

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References

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

9 entries5 matched2 under review2 external

1.
Aliyev B.E., Qodirov R.Y., Jabborov B.S. Assessment of ba'zi export potential in tourism: evidence from Uzbekistan (case of Tashkent) // TATU axborotnomasi. – 2021. – №4. – B. 18–29.
MatchedFuzzy match, S = 1.00→ Assessment of export potential in tourism: evidence from Uzbekistan (case of Tashkent)
2.
G'aniyeva D.N. Tibbiy axborot tizimi uchun tasodifiy o'rmon algoritmi asosida tanib olish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 77 b.
Under review
3.
Jabborov, B. S. (2018). Masofaviy ta'lim platformasi uchun klasterlash algoritmlari asosida tavsiya tizimini yaratish. Toshkent.
MatchedFuzzy match, S = 1.00
4.
Kamolova G.S., Ivanov I.I. Big data in agriculture: a case of Uzbekistan // ToshDAU ilmiy-uslubiy jurnali. – 2015. – №1. – B. 1–12.
MatchedFuzzy match, S = 1.00
5.
Martin C., Brown A. (1998). Deep residual learning for image recognition in developing countries. Journal of Economic Perspectives, 110, 479–992.
External source
6.
O'zbekiston Respublikasi Prezidentining «2022–2026-yillarga mo'ljallangan Yangi O'zbekistonning taraqqiyot strategiyasi to'g'risida»gi PF-60-son Farmoni. – Toshkent, 2022.
External source
7.
Hamroyeva M.B., Jumayev H.E. IoT tarmog'i uchun fuzzy logika asosida ma'lumotlarni tasniflash (Navoiy viloyati misolida) // TATU: fan, ta'lim va innovatsiya. – 2021. – №3. – B. 1–10. https://nationaldri.uz/20.1003/tatufti/2021/v9_i3/85024991
MatchedExact by DRI
8.
Jabborov B.S., Rahimov E.D. Kosmik suratlarni kriptografik protokollar yordamida tahlil qilish // TATU axborotnomasi. – 2019. – №1. – B. 5–16. DRI: 20.1003/tatuax/2019/i1/45737732
MatchedExact by DRI
9.
Қосимов, О. Р., Рустамова, Н. Д., & Маматов, У. М. (2021). АППЛИСАТИОН ОФ ДЕЕП ФОР. ТАТУ илмий-услубий журнали, 8(1), 7–12.
Under review

Citing works

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

Ko'makchilarning pragmatik xususiyatlari (Namangan viloyati misolida) 58
Authors: Eshonqulova F.P., Ismoilov Nurali Yusufovich, Jabborov Botir, Rasulov F.S.Til va adabiyot ta'limi
DRI20.1033/tat/2025/i3/26333584 Open on nationaldri.uzArticle4views0downloads
Year2025
Citations0
Применение блокчейна в банковской системы (на примере Бухары) 66
Authors: Mirzayeva Nilufar Davron qizi, Volkov AndreyTDTU ilmiy-uslubiy jurnali
DRI20.1006/tdtuilm/2024/v16_i1/93115177 Open on nationaldri.uzArticle6views0downloads
Year2024
Citations2

[1] 1.
Aliyev B.E., Qodirov R.Y., Jabborov B.S. Assessment of ba'zi export potential in tourism: evidence from Uzbekistan (case of Tashkent) // TATU axborotnomasi. – 2021. – №4. – B. 18–29.
MatchedFuzzy match, S = 1.00→ Assessment of export potential in tourism: evidence from Uzbekistan (case of Tashkent)

[2] 2.
G'aniyeva D.N. Tibbiy axborot tizimi uchun tasodifiy o'rmon algoritmi asosida tanib olish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 77 b.
Under review

[3] 3.
Jabborov, B. S. (2018). Masofaviy ta'lim platformasi uchun klasterlash algoritmlari asosida tavsiya tizimini yaratish. Toshkent.
MatchedFuzzy match, S = 1.00

[4] 4.
Kamolova G.S., Ivanov I.I. Big data in agriculture: a case of Uzbekistan // ToshDAU ilmiy-uslubiy jurnali. – 2015. – №1. – B. 1–12.
MatchedFuzzy match, S = 1.00

[5] 5.
Martin C., Brown A. (1998). Deep residual learning for image recognition in developing countries. Journal of Economic Perspectives, 110, 479–992.
External source

[6] 6.
O'zbekiston Respublikasi Prezidentining «2022–2026-yillarga mo'ljallangan Yangi O'zbekistonning taraqqiyot strategiyasi to'g'risida»gi PF-60-son Farmoni. – Toshkent, 2022.
External source

[7] 7.
Hamroyeva M.B., Jumayev H.E. IoT tarmog'i uchun fuzzy logika asosida ma'lumotlarni tasniflash (Navoiy viloyati misolida) // TATU: fan, ta'lim va innovatsiya. – 2021. – №3. – B. 1–10. https://nationaldri.uz/20.1003/tatufti/2021/v9_i3/85024991
MatchedExact by DRI

[8] 8.
Jabborov B.S., Rahimov E.D. Kosmik suratlarni kriptografik protokollar yordamida tahlil qilish // TATU axborotnomasi. – 2019. – №1. – B. 5–16. DRI: 20.1003/tatuax/2019/i1/45737732
MatchedExact by DRI

[9] 9.
Қосимов, О. Р., Рустамова, Н. Д., & Маматов, У. М. (2021). АППЛИСАТИОН ОФ ДЕЕП ФОР. ТАТУ илмий-услубий журнали, 8(1), 7–12.
Under review