IoT tarmog'i uchun klasterlash algoritmlari asosida trafikni prognozlash

Қурбонов Муҳаммад Улуғбек ўғли; Ergasheva Nigora Islomovna; Saidov Islom Sobir o'g'li

Article · 2025

IoT tarmog'i uchun klasterlash algoritmlari asosida trafikni prognozlash

Application of deep learning for text classification

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20.2002/rtt/2025/v12_i2/80025888Uzbek

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Authors

Қурбонов Муҳаммад Улуғбек ўғли ORCID 0000-0002-0015-3694 (opens in a new tab)
TATU, Axborot texnologiyalari fakulteti
Ergasheva Nigora Islomovnano linked profile
Ташкентский университет информационных технологий имени Мухаммада аль-Хорезми
Saidov Islom Sobir o'g'lino linked profile
TDShU

Abstract

Ushbu maqolada «IoT tarmog'i uchun klasterlash algoritmlari asosida trafikni prognozlash» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Olingan natijalar IoT tarmog'i sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.2002/rtt/2025/v12_i2/80025888
Work type: Article
Journal: Raqamli texnologiyalar va ta'limISSN 2181-1091
Volume and issue: Vol. 12, No. 2
Pages: 29–36
Published: 10 June 2025
Language: Uzbek
Subject: Axborot texnologiyalari
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:51, version 1

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References

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

15 entries9 matched1 under review5 external

1.
Kuznetsova Y.A. Masofaviy ta'lim platformasi uchun fuzzy logika asosida tasvirlarni segmentatsiyalash (Jizzax viloyati misolida) // Xalq ta'limi. – 2012. – №6. – B. 85–98.
External source
2.
Bloom B.S. Taxonomy of Educational Objectives. – New York: Longman, 1956. – 207 p.
External source
3.
Kamolova, G. S., & Asqarova, O. P. (2025). Kosmik suratlarni blokcheyn texnologiyasi yordamida tahlil qilish (Buxoro viloyati misolida). Raqamli texnologiyalar va ta'lim, 12(2), 16–28.
MatchedFuzzy match, S = 1.00
4.
Kamolova G.S., Rasulova M.J., Fayziyev A.K., va boshq. Sensor ma'lumotlarini algoritmlari yordamida tahlil qilish // Texnika yulduzlari. – 2019. – №11. – B. 1–4.
MatchedFuzzy match, S = 0.99
5.
Qosimov U.L. Kosmik suratlarni fuzzy logika yordamida tahlil qilish. – Toshkent: Fan, 1995. – 202 b.
External source
6.
Hamroyev R.I., Qosimov O.R., Xolmatova X.E. Применение искусственного интеллекта в банковской системы // TATU: fan, ta'lim va innovatsiya. – 2016. – B. 14–18.
MatchedFuzzy match, S = 1.00
7.
Ibragimov E.A., Yoqubova M.Sh. Qishloq xo`jaligi sohasida katta ma`lumotlarni asosiy qo`llash // TATU: fan, ta`lim va innovatsiya. – 2017. – №4. – B. 1–11.
MatchedFuzzy match, S = 1.00
8.
Valiyev G'.J., To'xtayeva N.F., Rahimova S.B. Masofaviy ta'lim platformasi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // TATU: fan, ta'lim va innovatsiya. – 2014. – №3. – B. 1–11. URL: https://nationaldri.uz/20.1003/tatufti/2014/v2_i3/24225440
MatchedExact by DRI
9.
Chen Y., Garcia L., Martin C. (2020). Gamification in education: a systematic review. World Development, 146, 8–951. DOI: 10.1016/j.worlddev.2020.29703
External source
10.
Лебедева О.М. Применение больших данных в малого бизнеса. – М.: Наука, 2018. – 203 с.
Under review
11.
Nguyen T., Lee J. (2012). A meta-analysis of active learning in STEM education. World Development, 70, 852–948. https://doi.org/10.1016/j.worlddev.2012.863317
External source
12.
Choriyeva, H. B., & Eshonqulov, Z. F. (2023). IoT tarmog'i uchun blkcheyn texnologiyasi asosida nutqni tanib olish. TATU axborotnomasi, 1–10. URL: https://nationaldri.uz/20.1003/tatuax/2023/i3/22886148
MatchedExact by DRI
13.
Umrzoqova, X. U., & Komilov, I. F. (2019). QADIMI DAVRDA TOSHKENT VOHASIDA HAYOTI (JIZZAX VILOYATI MISOLIDA). Nizomiy nomidagi TDPU ilmiy axborotlari, 9(7), 1–12.
MatchedFuzzy match, S = 0.97
14.
Qosimov, O. R., Zokirov, D. Q., & Karimova, O'. A. (2020). Bank axborot tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash. Muhammad al-Xorazmiy avlodlari, 7(12), 1–10. DRI: 20.1003/mxa/2020/v7_i12/10100984
MatchedExact by DRI
15.
Ergasheva N.I., Normatov U.F., Ahmadjonov R.I., va boshq. Sensor ma'lumotlarini blokcheyn texnologiyasi yordamida tahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2019. – №1. – B. 1–10. URL: https://nationaldri.uz/20.1003/tatufti/2019/v7_i1/80814337
MatchedExact by DRI

Citing works

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

Authors: , , Raqamli texnologiyalar va ta'lim
DRI20.2002/34723240 Open on nationaldri.uzArticle4views0downloads
Year2026
Citations0

[1] 1.
Kuznetsova Y.A. Masofaviy ta'lim platformasi uchun fuzzy logika asosida tasvirlarni segmentatsiyalash (Jizzax viloyati misolida) // Xalq ta'limi. – 2012. – №6. – B. 85–98.
External source

[2] 2.
Bloom B.S. Taxonomy of Educational Objectives. – New York: Longman, 1956. – 207 p.
External source

[3] 3.
Kamolova, G. S., & Asqarova, O. P. (2025). Kosmik suratlarni blokcheyn texnologiyasi yordamida tahlil qilish (Buxoro viloyati misolida). Raqamli texnologiyalar va ta'lim, 12(2), 16–28.
MatchedFuzzy match, S = 1.00

[4] 4.
Kamolova G.S., Rasulova M.J., Fayziyev A.K., va boshq. Sensor ma'lumotlarini algoritmlari yordamida tahlil qilish // Texnika yulduzlari. – 2019. – №11. – B. 1–4.
MatchedFuzzy match, S = 0.99

[5] 5.
Qosimov U.L. Kosmik suratlarni fuzzy logika yordamida tahlil qilish. – Toshkent: Fan, 1995. – 202 b.
External source

[6] 6.
Hamroyev R.I., Qosimov O.R., Xolmatova X.E. Применение искусственного интеллекта в банковской системы // TATU: fan, ta'lim va innovatsiya. – 2016. – B. 14–18.
MatchedFuzzy match, S = 1.00

[7] 7.
Ibragimov E.A., Yoqubova M.Sh. Qishloq xo`jaligi sohasida katta ma`lumotlarni asosiy qo`llash // TATU: fan, ta`lim va innovatsiya. – 2017. – №4. – B. 1–11.
MatchedFuzzy match, S = 1.00

[8] 8.
Valiyev G'.J., To'xtayeva N.F., Rahimova S.B. Masofaviy ta'lim platformasi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari // TATU: fan, ta'lim va innovatsiya. – 2014. – №3. – B. 1–11. URL: https://nationaldri.uz/20.1003/tatufti/2014/v2_i3/24225440
MatchedExact by DRI

[9] 9.
Chen Y., Garcia L., Martin C. (2020). Gamification in education: a systematic review. World Development, 146, 8–951. DOI: 10.1016/j.worlddev.2020.29703
External source

[10] 10.
Лебедева О.М. Применение больших данных в малого бизнеса. – М.: Наука, 2018. – 203 с.
Under review

[11] 11.
Nguyen T., Lee J. (2012). A meta-analysis of active learning in STEM education. World Development, 70, 852–948. https://doi.org/10.1016/j.worlddev.2012.863317
External source

[12] 12.
Choriyeva, H. B., & Eshonqulov, Z. F. (2023). IoT tarmog'i uchun blkcheyn texnologiyasi asosida nutqni tanib olish. TATU axborotnomasi, 1–10. URL: https://nationaldri.uz/20.1003/tatuax/2023/i3/22886148
MatchedExact by DRI

[13] 13.
Umrzoqova, X. U., & Komilov, I. F. (2019). QADIMI DAVRDA TOSHKENT VOHASIDA HAYOTI (JIZZAX VILOYATI MISOLIDA). Nizomiy nomidagi TDPU ilmiy axborotlari, 9(7), 1–12.
MatchedFuzzy match, S = 0.97

[14] 14.
Qosimov, O. R., Zokirov, D. Q., & Karimova, O'. A. (2020). Bank axborot tizimi uchun chuqur o'rganish asosida tasvirlarni segmentatsiyalash. Muhammad al-Xorazmiy avlodlari, 7(12), 1–10. DRI: 20.1003/mxa/2020/v7_i12/10100984
MatchedExact by DRI

[15] 15.
Ergasheva N.I., Normatov U.F., Ahmadjonov R.I., va boshq. Sensor ma'lumotlarini blokcheyn texnologiyasi yordamida tahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2019. – №1. – B. 1–10. URL: https://nationaldri.uz/20.1003/tatufti/2019/v7_i1/80814337
MatchedExact by DRI

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