IoT tarmog'i uchun chuqur o'rganish asosida ma'lumotlarni tasniflash

Jabborov Botir Sayfulla o'g'li; K. Sharipov

doi:10.52011/tatufti.2024.12.3.2

Article · 2024

IoT tarmog'i uchun chuqur o'rganish asosida ma'lumotlarni tasniflash

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20.1003/tatufti/2024/v12_i3/66633281Uzbek

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Authors

Jabborov Botir Sayfulla o'g'li ORCID 0000-0002-0015-8313 (opens in a new tab)
Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti
K. Sharipovno linked profile
TATU

Abstract

Ushbu maqolada «IoT tarmog'i uchun chuqur o'rganish asosida ma'lumotlarni tasniflash» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Olingan natijalar IoT tarmog'i sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1003/tatufti/2024/v12_i3/66633281
Work type: Article
Journal: TATU: fan, ta'lim va innovatsiyaISSN 2181-0230
Volume and issue: Vol. 12, No. 3
Pages: 7–19
Published: 30 July 2024
Language: Uzbek
External DOI: 10.52011/tatufti.2024.12.3.2 (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 2

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References

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

13 entries6 matched1 under review6 external

1.
Смирнов Д.В. Применение искусственного интеллекта в малого бизнеса // Физика твёрдого тела. – 1996. – № 12. – С. 66–96.
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Kamolova G.S., Mahmudov M.J. Bulutli hisoblash muhiti uchun transformer modeli asosida trafikni prognozlash // «Agrar sohada resurstejamkor texnologiyalar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2016. – B. 1–4.
MatchedFuzzy match, S = 1.00→ Bulutli hisoblash muhiti uchun transformer modeli asosida trafikni prognozlash
3.
Yoqubova, X. S. (2018). O'zbek va ingliz tillarida kasb-hunar leksikasining qiyosiy tahlili. Toshkent.
MatchedFuzzy match, S = 0.93
4.
Ikromova, X. R. (2014). Amorf qotishmalarda lyuminessensiyani tadqiq qilish. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 3–4). Toshkent. – DRI 20.1001/tdpuconf2014/2014/98832262
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Müller K. Masofaviy ta'lim platformasi uchun klasterlash algoritmlari asosida trafikni prognozlash. – Toshkent: Universitet, 2018. – 277 b.
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Kumar V. (2016). Gamification in education: a systematic review: a systematic review. Physical Review B, 127, 660–973. DOI: 10.1103/PhysRevB.2016.628611
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Qodirov S.Sh. Xurshid Davron ijodida mifolgoik motivlarning badiiy talqini (Sirdaryo viloyati misolida) 2: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 134 b.
Under review
9.
Hasanov U.O., Zokirov Sh.K., Qosimova M.A., va boshq. Применение блокчейна в текстильной промышленности (на примере Хорезма) // TDTU ilmiy-uslubiy jurnali. – 2018. – №4. – B. 10–22. – DRI 20.1006/tdtuilm/2018/v10_i4/35372539
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Novak P., Johnson M., Kumar V. (1998). Teacher professional development in digital learning environments revisited. Computers & Education, 28, 377–988. DOI: 10.1016/j.compedu.1998.419502
External source
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Алиев Б.Э., Қодиров Р.Й., Жабборов Б.С. Ассессмент оф эхпорт потентиал ин тоурисм: эвиденсе фром Узбекистан (сасе оф Ташкент) // ТАТУ ахборотномаси. – 2021. – №4. – Б. 18–29.
MatchedFuzzy match, S = 0.96
12.
Lee J., Nguyen T., Tanaka H. (2016). Deep residual learning for image recognition: a systematic review. Computers & Education, 121, 66–938.
External source
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Камолова Г.С., Шарипов К.М. Электрон ҳукумат тизими хавфсизлигини таъминлашда компютер кўриши имкониятлари // Инноватсион ривожланиш. – 2023. – №2. – Б. 1–9.
MatchedFuzzy match, S = 1.00

Citing works

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

Authors: , , Yunusova MunisaTATU axborotnomasi
DRI20.1003/tatuax/2025/i4/11166250 Open on nationaldri.uzArticleSelf-citation8views0downloads
Year2025
Citations5

[1] 1.
Смирнов Д.В. Применение искусственного интеллекта в малого бизнеса // Физика твёрдого тела. – 1996. – № 12. – С. 66–96.
External source

[2] 2.
Kamolova G.S., Mahmudov M.J. Bulutli hisoblash muhiti uchun transformer modeli asosida trafikni prognozlash // «Agrar sohada resurstejamkor texnologiyalar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2016. – B. 1–4.
MatchedFuzzy match, S = 1.00→ Bulutli hisoblash muhiti uchun transformer modeli asosida trafikni prognozlash

[3] 3.
Yoqubova, X. S. (2018). O'zbek va ingliz tillarida kasb-hunar leksikasining qiyosiy tahlili. Toshkent.
MatchedFuzzy match, S = 0.93

[4] 4.
Ikromova, X. R. (2014). Amorf qotishmalarda lyuminessensiyani tadqiq qilish. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 3–4). Toshkent. – DRI 20.1001/tdpuconf2014/2014/98832262
MatchedExact by DRI

[5] 5.
Müller K. Masofaviy ta'lim platformasi uchun klasterlash algoritmlari asosida trafikni prognozlash. – Toshkent: Universitet, 2018. – 277 b.
External source

[6] 6.
Kumar V. (2016). Gamification in education: a systematic review: a systematic review. Physical Review B, 127, 660–973. DOI: 10.1103/PhysRevB.2016.628611
External source

[7] 7.
Zaripov M.O. Moliya sohasida katta ma'lumotlarni qo'llash. – Toshkent: Universitet, 2006. – 260 b.
External source

[8] 8.
Qodirov S.Sh. Xurshid Davron ijodida mifolgoik motivlarning badiiy talqini (Sirdaryo viloyati misolida) 2: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2019. – 134 b.
Under review

[9] 9.
Hasanov U.O., Zokirov Sh.K., Qosimova M.A., va boshq. Применение блокчейна в текстильной промышленности (на примере Хорезма) // TDTU ilmiy-uslubiy jurnali. – 2018. – №4. – B. 10–22. – DRI 20.1006/tdtuilm/2018/v10_i4/35372539
MatchedExact by DRI

[10] 10.
Novak P., Johnson M., Kumar V. (1998). Teacher professional development in digital learning environments revisited. Computers & Education, 28, 377–988. DOI: 10.1016/j.compedu.1998.419502
External source

[11] 11.
Алиев Б.Э., Қодиров Р.Й., Жабборов Б.С. Ассессмент оф эхпорт потентиал ин тоурисм: эвиденсе фром Узбекистан (сасе оф Ташкент) // ТАТУ ахборотномаси. – 2021. – №4. – Б. 18–29.
MatchedFuzzy match, S = 0.96

[12] 12.
Lee J., Nguyen T., Tanaka H. (2016). Deep residual learning for image recognition: a systematic review. Computers & Education, 121, 66–938.
External source

[13] 13.
Камолова Г.С., Шарипов К.М. Электрон ҳукумат тизими хавфсизлигини таъминлашда компютер кўриши имкониятлари // Инноватсион ривожланиш. – 2023. – №2. – Б. 1–9.
MatchedFuzzy match, S = 1.00

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