Geoaxborot tizimi xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari

Egamberdiyeva Yulduz Sobirovna; Kamolova Gulnora

Article · 2022

Geoaxborot tizimi xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari

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20.1006/ty/2022/i1/10648467Uzbek

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Authors

Egamberdiyeva Yulduz Sobirovna ORCID 0000-0002-0018-1900 (opens in a new tab)
Ислом Каримов номидаги Тошкент давлат техника университети
Kamolova Gulnorano linked profile
Islom Karimov nomidagi Toshkent davlat texnika universiteti

Abstract

Ushbu maqolada «Geoaxborot tizimi xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Muallif tomonidan geoaxborot tizimi bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1006/ty/2022/i1/10648467
Work type: Article
Journal: Texnika yulduzlariISSN 2181-0311
Volume and issue: No. 1
Pages: 11–18
Published: 24 January 2022
Language: Uzbek
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.

15 entries4 matched2 under review9 external

1.
Rustamova, N. D., & Egamberdiyev, M. Sh. (2021). Применение интернета в текстильной промышленности (на примере Ташкента). TATU: fan, taʻlim va innovatsiya, 9(1), 1–10.
MatchedFuzzy match, S = 1.00→ Применение интернета вещей в текстильной промышленности (на примере Ташкента)
2.
Kim S. (2006). Soil salinity mapping using remote sensing data: a systematic review. Journal of Chemical Education, 158, 558–920.
External source
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Петрова А.С. Применение искусственного интеллекта в туризма. – М.: Наука, 1997. – 226 с.
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O'zbekiston Respublikasi Prezidentining «2022–2026-yillarga mo'ljallangan Yangi O'zbekistonning taraqqiyot strategiyasi to'g'risida»gi PF-60-son Farmoni. – Toshkent, 2022.
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Kamolova, G. S., & Ergashev, Z. I. (2021). Elektron hukumat tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash. Texnika yulduzlari, 8–16. – DRI 20.1006/ty/2021/i10/36778279
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Jalilova N.D. Aqlli uy tizimi uchun chuqur o'rganish asosida tavsiya tizimini yaratish // Til va adabiyot ta'limi. – 2017. – №11. – B. 5–65.
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Ismoilov T.I. Elektron hukumat tizimi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Xalq ta'limi. – 2008. – №5. – B. 58–98.
Under review
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Sharipova Sh.K. Применение интернета вещей в текстильной: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2017. – 127 b.
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O'zbekiston Respublikasi Prezidentining «2022–2026-yillarga mo'ljallangan Yangi O'zbekistonning taraqqiyot strategiyasi to'g'risida»gi PF-60-son Farmoni. – Toshkent, 2022.
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Volkov A.N. tibbiy axborot tizimi uchun konvolyutsion neyron tarmoq asosida tasvirlarni segmentatsiyalash // Xalq ta'limi. – 2017. – №3. – B. 78–94.
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Kamolova G.S. Kosmik suratlarni fuzzy logika yordamida tahlil qilish // TATU axborotnomasi. – 2020. – №1. – B. 19–29.
MatchedFuzzy match, S = 1.00
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Rahimov A.A., Ibragimov J.X. Tog'ay Murod ijodida mifologik motivlarning badiiy talqini // Filologiya masalalari. – 2018. – №1. – B. 30–42.
MatchedFuzzy match, S = 1.00

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

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[1] 1.
Rustamova, N. D., & Egamberdiyev, M. Sh. (2021). Применение интернета в текстильной промышленности (на примере Ташкента). TATU: fan, taʻlim va innovatsiya, 9(1), 1–10.
MatchedFuzzy match, S = 1.00→ Применение интернета вещей в текстильной промышленности (на примере Ташкента)

[2] 2.
Kim S. (2006). Soil salinity mapping using remote sensing data: a systematic review. Journal of Chemical Education, 158, 558–920.
External source

[3] 3.
Ibragimova H.N. Bulutli hisoblash muhiti uchun blokcheyn texnologiyasi asosida tavsiya tizimini yaratish // Til va adabiyot ta'limi. – 1996. – №4. – B. 39–74.
External source

[4] 4.
Петрова А.С. Применение искусственного интеллекта в туризма. – М.: Наука, 1997. – 226 с.
External source

[5] 5.
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

[6] 6.
Kamolova, G. S., & Ergashev, Z. I. (2021). Elektron hukumat tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash. Texnika yulduzlari, 8–16. – DRI 20.1006/ty/2021/i10/36778279
MatchedExact by DRI

[7] 7.
Jalilova N.D. Aqlli uy tizimi uchun chuqur o'rganish asosida tavsiya tizimini yaratish // Til va adabiyot ta'limi. – 2017. – №11. – B. 5–65.
Under review

[8] 8.
Martin C. (2009). Machine learning methods for credit scoring. Energy Policy, 93, 545–966.
External source

[9] 9.
Müller K., Tanaka H. (2000). Gamification in education: a systematic review: evidence from panel data. Energy Policy, 41, 886–971. https://doi.org/10.1016/j.enpol.2000.275434
External source

[10] 10.
Ismoilov T.I. Elektron hukumat tizimi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari // Xalq ta'limi. – 2008. – №5. – B. 58–98.
Under review

[11] 11.
Sharipova Sh.K. Применение интернета вещей в текстильной: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2017. – 127 b.
External source

[12] 12.
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

[13] 13.
Volkov A.N. tibbiy axborot tizimi uchun konvolyutsion neyron tarmoq asosida tasvirlarni segmentatsiyalash // Xalq ta'limi. – 2017. – №3. – B. 78–94.
External source

[14] 14.
Kamolova G.S. Kosmik suratlarni fuzzy logika yordamida tahlil qilish // TATU axborotnomasi. – 2020. – №1. – B. 19–29.
MatchedFuzzy match, S = 1.00

[15] 15.
Rahimov A.A., Ibragimov J.X. Tog'ay Murod ijodida mifologik motivlarning badiiy talqini // Filologiya masalalari. – 2018. – №1. – B. 30–42.
MatchedFuzzy match, S = 1.00

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