Применение искусственного интеллекта в туризма

Qosimov Odil Rustam o'g'li; Sh. Aliyev; R. Xolmatova; E. Saidov

Article · 2018

Применение искусственного интеллекта в туризма

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20.1003/11349587Russian

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Authors

Qosimov Odil Rustam o'g'lino linked profile
Муҳаммад ал-Хоразмий номидаги Тошкент ахборот технологиялари университети
Sh. Aliyevno linked profile
O'zbekiston davlat jahon tillari universiteti
R. Xolmatovano linked profile
Муҳаммад ал-Хоразмий номидаги Тошкент ахборот технологиялари университети
E. Saidov ORCID 0000-0002-0015-2579 (opens in a new tab)
Муҳаммад ал-Хоразмий номидаги Тошкент ахборот технологиялари университети

Abstract

В статье рассматриваются вопросы темы «Применение искусственного интеллекта в туризма». Проведён анализ отечественного и зарубежного опыта. Предложены практические рекомендации.

Keywords

Bibliographic details

DRI: 20.1003/11349587
Work type: Article
Journal: Muhammad al-Xorazmiy avlodlariISSN 2181-0176
Pages: 11–15
Published: 29 January 2018
Language: Russian
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:47, version 1

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Excluding self-citations: 16

Excluding self-citations

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References

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

9 entries6 matched0 under review3 external

1.
Ismoilova R.H., Qurbonov J.O., Aliyev Sh.M., va boshq. Лингвокультурологический анализ эвфемизмов в узбекском и русском языках (на примере Самарканда) // O'zbek tili va adabiyoti. – 2015. – №1. – B. 11–20.
MatchedFuzzy match, S = 1.00→ Лингвокультурологический анализ эвфемизмов в узбекском и русском языках (на примере Самарканда)
2.
Karimova K.A. Sensor ma'lumotlarini kriptografik protokollar yordamida tahlil qilish. – Toshkent: O‘qituvchi, 2011. – 186 b.
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Kamolova, G. S. (2016). Application of convolutional neural networks for anomaly detection. TDTU: fan, ta'lim va innovatsiya, 6(1), 6–11. DOI: 10.52017/tdtufti.2016.6.1.2
MatchedExact by DOI
4.
Маматов, М. И., Валиев, Ғ. Ж., Ҳамроев, Р. И., эт ал. (2014). ИоТ тармоғи учун фуззй логика асосида. ТАТУ илмий-услубий журнали, 1(4), 1–9.
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Ахмедова, З. А. (2017). Банк тизими корхоналарида инсон капитали ошириш ёъллари. Ин «Аграр соҳада ресурстежамкор технологиялар» мавзусидаги халқаро илмий-амалий конференсия (пп. 20–23). Тошкент.
MatchedFuzzy match, S = 0.92
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Yusupova N.K., Yusupova L.B. Geoaxborot tiimi uchun transformer modeli asosida nutqni tanib olish // «Muhandislik va texnologiyalarning zamonaviy muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2014. – B. 7–8.
MatchedFuzzy match, S = 0.99
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Mamatov U.M., Xolmatova M.A. IoT tarmog'i uchun klasterlash algoritmlari asosida tasvirlarni segmentatsiyalash // TATU ilmiy-uslubiy jurnali. – 2018. – №1. – B. 1–5. doi:10.52010/tatuilm.2018.5.1.1
MatchedExact by DOI
8.
Müller K. Ijtimoiy tarmoq ma'lumotlarini blokcheyn texnologiyasi yordamida tahlil qilish // Til va adabiyot ta'limi. – 2016. – №12. – B. 37–77.
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Qosimov, O. R., Toshpo'latov, T. K., & Markayev, A. D. (2013). Ijtimoiy tarmoq ma'lumotlarini klasterlash yordamida thlil qilish. TATU: fan, ta'lim va innovatsiya, 1(1), 1–4.
MatchedFuzzy match, S = 0.99

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[1] 1.
Ismoilova R.H., Qurbonov J.O., Aliyev Sh.M., va boshq. Лингвокультурологический анализ эвфемизмов в узбекском и русском языках (на примере Самарканда) // O'zbek tili va adabiyoti. – 2015. – №1. – B. 11–20.
MatchedFuzzy match, S = 1.00→ Лингвокультурологический анализ эвфемизмов в узбекском и русском языках (на примере Самарканда)

[2] 2.
Karimova K.A. Sensor ma'lumotlarini kriptografik protokollar yordamida tahlil qilish. – Toshkent: O‘qituvchi, 2011. – 186 b.
External source

[3] 3.
Kamolova, G. S. (2016). Application of convolutional neural networks for anomaly detection. TDTU: fan, ta'lim va innovatsiya, 6(1), 6–11. DOI: 10.52017/tdtufti.2016.6.1.2
MatchedExact by DOI

[4] 4.
Маматов, М. И., Валиев, Ғ. Ж., Ҳамроев, Р. И., эт ал. (2014). ИоТ тармоғи учун фуззй логика асосида. ТАТУ илмий-услубий журнали, 1(4), 1–9.
External source

[5] 5.
Ахмедова, З. А. (2017). Банк тизими корхоналарида инсон капитали ошириш ёъллари. Ин «Аграр соҳада ресурстежамкор технологиялар» мавзусидаги халқаро илмий-амалий конференсия (пп. 20–23). Тошкент.
MatchedFuzzy match, S = 0.92

[6] 6.
Yusupova N.K., Yusupova L.B. Geoaxborot tiimi uchun transformer modeli asosida nutqni tanib olish // «Muhandislik va texnologiyalarning zamonaviy muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2014. – B. 7–8.
MatchedFuzzy match, S = 0.99

[7] 7.
Mamatov U.M., Xolmatova M.A. IoT tarmog'i uchun klasterlash algoritmlari asosida tasvirlarni segmentatsiyalash // TATU ilmiy-uslubiy jurnali. – 2018. – №1. – B. 1–5. doi:10.52010/tatuilm.2018.5.1.1
MatchedExact by DOI

[8] 8.
Müller K. Ijtimoiy tarmoq ma'lumotlarini blokcheyn texnologiyasi yordamida tahlil qilish // Til va adabiyot ta'limi. – 2016. – №12. – B. 37–77.
External source

[9] 9.
Qosimov, O. R., Toshpo'latov, T. K., & Markayev, A. D. (2013). Ijtimoiy tarmoq ma'lumotlarini klasterlash yordamida thlil qilish. TATU: fan, ta'lim va innovatsiya, 1(1), 1–4.
MatchedFuzzy match, S = 0.99

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