Sensor ma'lumotlarini chuqur o'rganish yordamida tahlil qilish

Qurbonov Muhammad Ulug'bek o'g'li; Yoqubova Xurshida Sobir qizi; Qosimova Nargiza Dilshodovna

doi:10.52011/tatufti.2015.3.1.2

Article · 2015

Sensor ma'lumotlarini chuqur o'rganish yordamida tahlil qilish

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20.1003/tatufti/2015/v3_i1/86842546Uzbek

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Authors

Qurbonov Muhammad Ulug'bek o'g'li ORCID 0000-0002-0015-3694 (opens in a new tab)
TATU
Yoqubova Xurshida Sobir qizino linked profile
TATU, Xorijiy tillar fakulteti
Qosimova Nargiza Dilshodovna ORCID 0000-0002-0015-3483 (opens in a new tab)
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Abstract

Ushbu maqolada «Sensor ma'lumotlarini chuqur o'rganish yordamida tahlil qilish» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Natijalar chuqur o'rganish samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.1003/tatufti/2015/v3_i1/86842546
Work type: Article
Journal: TATU: fan, ta'lim va innovatsiyaISSN 2181-0230
Volume and issue: Vol. 3, No. 1
Pages: 12–16
Published: 6 March 2015
Language: Uzbek
External DOI: 10.52011/tatufti.2015.3.1.2 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:47, version 2

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Excluding self-citations: 41

Excluding self-citations

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References

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

9 entries5 matched0 under review4 external

1.
Zaripov A.Z., Garcia L., Egamberdiyev V.N. Elektron kutubxona xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Muhammad al-Xorazmiy avlodlari. – 2014. – №11. – B. 1–8. DOI: 10.52008/mxa.2014.1.11.1
MatchedExact by DOI→ Elektron kutubxona xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari
2.
Ivanov I.I. Bulutli hisoblash muhiti uchun kriptografik protokollar asosida anomaliyalarni aniqlash // Til va adabiyot ta'limi. – 2014. – №9. – B. 51–79.
External source
3.
Eshonqulov J.Sh. Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish. – Toshkent: Fan, 2008. – 150 b.
External source
4.
Rahimova S.B., Tanaka H., Zokirova N.S., va boshq. Ta'lim sohasida blokcheynni qo'llash // TATU: fan, ta'lim va innovatsiya. – 2013. – №2. – B. 1–10. https://nationaldri.uz/20.1003/tatufti/2013/v1_i2/91868353
MatchedExact by DRI
5.
Müller K. (1998). Soil salinity mapping using remote sensing data: a systematic review. The Lancet, 26, 526–933.
External source
6.
Johnson M., Wang L. (2000). Soil salinity mapping using remote sensing data. Educational Psychology Review, 162, 650–915. DOI: 10.1007/s10648.2000.38766
External source
7.
Qosimov O.R., G'afurova S.Sh. Geoaxborot tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash // TDTU: fan, ta'lim va innovatsiya. – 2011. – №1. – B. 16–24.
MatchedFuzzy match, S = 0.98
8.
Kamolova, G. S., & Ivanov, I. I. (2016). Big data in agriculture: a case of Ubzekistan. ToshDAU ilmiy-uslubiy jurnali, 6(1), 1–12.
MatchedFuzzy match, S = 0.96
9.
Qosimov, O. R., Smith, J., Normatov, U. F., et al. (2012). Sog'liqni saqlash sohasida kompyuter ko'rishini qo'llash. TerDU ilmiy axborotnomasi, 4(4), 1–6. https://nationaldri.uz/20.1011/terdu/2012/v4_i4/71692912
MatchedExact by DRI

Citing works

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

Aralash turdagi yuklangan differensial tenglama uchun Koshi masalasi
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DRI20.1002/diss/d2015/30607026 Open on nationaldri.uzDissertation9views0downloads
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Sog'liqni saqlash sohasida sun'iy intellektni qo'llash
Authors: Qurbonov M.U., E. JumayevTATU: fan, ta'lim va innovatsiya
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Authors: , Komil Nurmatov, Kenjayeva Maftuna Mansur qizi, BuxDU ilmiy-uslubiy jurnali
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41–46 of 46

[1] 1.
Zaripov A.Z., Garcia L., Egamberdiyev V.N. Elektron kutubxona xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Muhammad al-Xorazmiy avlodlari. – 2014. – №11. – B. 1–8. DOI: 10.52008/mxa.2014.1.11.1
MatchedExact by DOI→ Elektron kutubxona xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari

[2] 2.
Ivanov I.I. Bulutli hisoblash muhiti uchun kriptografik protokollar asosida anomaliyalarni aniqlash // Til va adabiyot ta'limi. – 2014. – №9. – B. 51–79.
External source

[3] 3.
Eshonqulov J.Sh. Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish. – Toshkent: Fan, 2008. – 150 b.
External source

[4] 4.
Rahimova S.B., Tanaka H., Zokirova N.S., va boshq. Ta'lim sohasida blokcheynni qo'llash // TATU: fan, ta'lim va innovatsiya. – 2013. – №2. – B. 1–10. https://nationaldri.uz/20.1003/tatufti/2013/v1_i2/91868353
MatchedExact by DRI

[5] 5.
Müller K. (1998). Soil salinity mapping using remote sensing data: a systematic review. The Lancet, 26, 526–933.
External source

[6] 6.
Johnson M., Wang L. (2000). Soil salinity mapping using remote sensing data. Educational Psychology Review, 162, 650–915. DOI: 10.1007/s10648.2000.38766
External source

[7] 7.
Qosimov O.R., G'afurova S.Sh. Geoaxborot tizimi uchun konvolyutsion neyron tarmoq asosida trafikni prognozlash // TDTU: fan, ta'lim va innovatsiya. – 2011. – №1. – B. 16–24.
MatchedFuzzy match, S = 0.98

[8] 8.
Kamolova, G. S., & Ivanov, I. I. (2016). Big data in agriculture: a case of Ubzekistan. ToshDAU ilmiy-uslubiy jurnali, 6(1), 1–12.
MatchedFuzzy match, S = 0.96

[9] 9.
Qosimov, O. R., Smith, J., Normatov, U. F., et al. (2012). Sog'liqni saqlash sohasida kompyuter ko'rishini qo'llash. TerDU ilmiy axborotnomasi, 4(4), 1–6. https://nationaldri.uz/20.1011/terdu/2012/v4_i4/71692912
MatchedExact by DRI

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