Masofaviy ta'lim platformasi uchun kriptografik protokollar asosida trafikni prognozlash

G'aniyev Rahim Shoxrux o'g'li

Article · 2025

Masofaviy ta'lim platformasi uchun kriptografik protokollar asosida trafikni prognozlash

Edit passport — nationaldri.uz

20.2002/mt/2025/i3/28212612Uzbek

Passport

A mirror of the passport from the nationaldri.uz registry. It can only be edited on nationaldri.uz.

Authors

G'aniyev Rahim Shoxrux o'g'li ORCID 0000-0002-0015-5446 (opens in a new tab)
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Abstract

Ushbu maqolada «Masofaviy ta'lim platformasi uchun kriptografik protokollar asosida trafikni prognozlash» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Olingan natijalar masofaviy ta'lim platformasi sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.2002/mt/2025/i3/28212612
Work type: Article
Journal: Muallim va ta'limISSN 2181-1075
Volume and issue: No. 3
Pages: 1–12
Published: 6 June 2025
Language: Uzbek
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:51, version 2

Metrics

Citations

0

Excluding self-citations: 0

Excluding self-citations

0

Views

0

Downloads

0

Usage by source

Duplicates (24 hours) and bots are filtered out.

Usage by source
Source	Views	Downloads
Journal pagejournal.milliykengash.com	0	0
Conference proceedingsconference.milliykengash.com	0	0
DRI resolverclicks through nationaldri.uz	0	—
Total	0	0

Links

Open on nationaldri.uz (opens in a new tab)
Full passport (nationaldri.uz) (opens in a new tab)
Edit passport — nationaldri.uz (opens in a new tab)
To fix an error in the passport, the publishing journal or the author uses the nationaldri.uz account.

Monthly usage

Views and downloads over the last 24 months (all sources).

No usage statistics yet

References

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

14 entries9 matched0 under review5 external

1.
Qosimov, O. R., Temirov, F. S., & Zokirov, D. Q. (2018). Применение интернета вещей в малого бизнеса. TATU ilmiy-uslubiy jurnali, 5(1), 16–20. doi:10.52010/tatuilm.2018.5.1.3
MatchedExact by DOI→ Применение интернета вещей в малого бизнеса
2.
Jabborov B.S. Bank axborot tizimi uchun kriptografik protokollar assoida ma'lumotlarni tasniflash // TATU ilmiy-uslubiy jurnali. – 2022. – №1. – B. 49–57. doi:10.52010/tatuilm.2022.9.1.6
MatchedExact by DOI→ Bank axborot tizimi uchun kriptografik protokollar asosida ma'lumotlarni tasniflash
3.
Qosimov S.M., Po'latov Sh.Sh. Kasb-hunar leksikasining pragmatik xususiyatlari (Farg'ona viloyati misolida) 54 // Sharqshunoslik. – 2025. – №2. – B. 62–69.
MatchedFuzzy match, S = 1.00
4.
Rossi F., Brown A., Schmidt P. (2006). Machine learning methods for credit scoring. Applied Linguistics, 163, 393–939. https://doi.org/10.1093/applin.2006.839738
External source
5.
Jabborov B.S., Normatova U.A., Qosimov A.V. Artificial intelligence in tourism: a case // Muhammad al-Xorazmiy avlodlari. – 2021. – №8. – B. 1–12.
MatchedFuzzy match, S = 0.97
6.
Durdiyev, J. A., & Kamolova, G. S. (2016). Shamol generatori uchun kompozit materiallar asosida yangi konstruksiya ishlab chiqish. Texnika yulduzlari, 1–10. doi:10.52015/ty.2016.6.7.1
MatchedExact by DOI
7.
Zokirov S.A., Mirzayeva N.Y. Raqamli texnologiyalar vositasida 5–6-sinf o'quvchilarining raqamli kompetensiay oshirish // BuxDU ilmiy axborotnomasi. – 2021. – №3. – B. 25–29. https://nationaldri.uz/20.1005/buxdu/2021/v7_i3/94237466
MatchedExact by DRI
8.
Иванов И.И. Применение больших данных в малого бизнеса. – М.: Наука, 1993. – 399 с.
External source
9.
Smith J., Brown A. (2021). Renewable energy transition in Central Asia in developing countries. World Development, 83, 611–999. https://doi.org/10.1016/j.worlddev.2021.495353
External source
10.
Ergasheva, N. Q., & Berdiyev, U. A. (2022). O'zbek tilidagi matnlar korpusi uchun tasodifiy o'rmon algoritmi asosida tasvirlarni segmentatsiyalash. TATU: fan, ta'lim va innovatsiya, 10(2), 24–27. URL: https://nationaldri.uz/20.1003/tatufti/2022/v10_i2/72697272
MatchedExact by DRI
11.
Ergashev M.S., Qosimov O.R., Axmedova D.D., va boshq. Применение блокчейна в текстильной промышленности // TATU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 5–14.
MatchedFuzzy match, S = 0.98
12.
Mahmudova Sh.T. Elektron kutubxona xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Xalq ta'limi. – 2019. – №2. – B. 41–97.
External source
13.
Yoqubova X.S., Kuznetsova Y.A. Sensor ma'lumotlarini fuzzy logika yordamida tahlil qilish // Raqamli texnologiyalar va ta'lim. – 2014. – №4. – B. 1–7.
MatchedFuzzy match, S = 1.00
14.
Wang L., Johnson M., Müller K. (2022). Deep residual learning for image recognition: a systematic review. Applied Linguistics, 179, 292–989.
External source

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.
Qosimov, O. R., Temirov, F. S., & Zokirov, D. Q. (2018). Применение интернета вещей в малого бизнеса. TATU ilmiy-uslubiy jurnali, 5(1), 16–20. doi:10.52010/tatuilm.2018.5.1.3
MatchedExact by DOI→ Применение интернета вещей в малого бизнеса

[2] 2.
Jabborov B.S. Bank axborot tizimi uchun kriptografik protokollar assoida ma'lumotlarni tasniflash // TATU ilmiy-uslubiy jurnali. – 2022. – №1. – B. 49–57. doi:10.52010/tatuilm.2022.9.1.6
MatchedExact by DOI→ Bank axborot tizimi uchun kriptografik protokollar asosida ma'lumotlarni tasniflash

[3] 3.
Qosimov S.M., Po'latov Sh.Sh. Kasb-hunar leksikasining pragmatik xususiyatlari (Farg'ona viloyati misolida) 54 // Sharqshunoslik. – 2025. – №2. – B. 62–69.
MatchedFuzzy match, S = 1.00

[4] 4.
Rossi F., Brown A., Schmidt P. (2006). Machine learning methods for credit scoring. Applied Linguistics, 163, 393–939. https://doi.org/10.1093/applin.2006.839738
External source

[5] 5.
Jabborov B.S., Normatova U.A., Qosimov A.V. Artificial intelligence in tourism: a case // Muhammad al-Xorazmiy avlodlari. – 2021. – №8. – B. 1–12.
MatchedFuzzy match, S = 0.97

[6] 6.
Durdiyev, J. A., & Kamolova, G. S. (2016). Shamol generatori uchun kompozit materiallar asosida yangi konstruksiya ishlab chiqish. Texnika yulduzlari, 1–10. doi:10.52015/ty.2016.6.7.1
MatchedExact by DOI

[7] 7.
Zokirov S.A., Mirzayeva N.Y. Raqamli texnologiyalar vositasida 5–6-sinf o'quvchilarining raqamli kompetensiay oshirish // BuxDU ilmiy axborotnomasi. – 2021. – №3. – B. 25–29. https://nationaldri.uz/20.1005/buxdu/2021/v7_i3/94237466
MatchedExact by DRI

[8] 8.
Иванов И.И. Применение больших данных в малого бизнеса. – М.: Наука, 1993. – 399 с.
External source

[9] 9.
Smith J., Brown A. (2021). Renewable energy transition in Central Asia in developing countries. World Development, 83, 611–999. https://doi.org/10.1016/j.worlddev.2021.495353
External source

[10] 10.
Ergasheva, N. Q., & Berdiyev, U. A. (2022). O'zbek tilidagi matnlar korpusi uchun tasodifiy o'rmon algoritmi asosida tasvirlarni segmentatsiyalash. TATU: fan, ta'lim va innovatsiya, 10(2), 24–27. URL: https://nationaldri.uz/20.1003/tatufti/2022/v10_i2/72697272
MatchedExact by DRI

[11] 11.
Ergashev M.S., Qosimov O.R., Axmedova D.D., va boshq. Применение блокчейна в текстильной промышленности // TATU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 5–14.
MatchedFuzzy match, S = 0.98

[12] 12.
Mahmudova Sh.T. Elektron kutubxona xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Xalq ta'limi. – 2019. – №2. – B. 41–97.
External source

[13] 13.
Yoqubova X.S., Kuznetsova Y.A. Sensor ma'lumotlarini fuzzy logika yordamida tahlil qilish // Raqamli texnologiyalar va ta'lim. – 2014. – №4. – B. 1–7.
MatchedFuzzy match, S = 1.00

[14] 14.
Wang L., Johnson M., Müller K. (2022). Deep residual learning for image recognition: a systematic review. Applied Linguistics, 179, 292–989.
External source