Применение искусственного интеллекта в малого бизнеса (на примере Бухары) 73

Kamolova Gulnora; Ergashev Zokir; Haydarova O'.M.

Article · 2021

Применение искусственного интеллекта в малого бизнеса (на примере Бухары) 73

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20.1006/tdtufti/2021/v11_i1/66084847Russian

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Authors

Kamolova Gulnorano linked profile
Ташкентский государственный технический университет имени Ислама Каримова
Ergashev Zokir ORCID 0000-0002-0017-9034 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti
Haydarova O'.M.ORCID 0000-0002-0017-847X (opens in a new tab)
TDTU, Qurilish fakulteti

Abstract

В статье рассматриваются вопросы темы «Применение искусственного интеллекта в малого бизнеса (на примере Бухары) 73». Проведён анализ отечественного и зарубежного опыта. Предложены практические рекомендации.

Keywords

Bibliographic details

DRI: 20.1006/tdtufti/2021/v11_i1/66084847
Work type: Article
Journal: TDTU: fan, ta'lim va innovatsiyaISSN 2181-0354
Volume and issue: Vol. 11, No. 1
Pages: 22–29
Published: 11 March 2021
Language: Russian
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:48, version 2

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References

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

14 entries5 matched0 under review9 external

1.
Сидоров В.П. Применение интернета вещей в малого бизнеса // Вопросы истории. – 2014. – № 4. – С. 83–141.
External source
2.
Martin C., Müller K. (2004). Machine learning methods for credit scoring. The Lancet, 114, 542–919.
External source
3.
Смирнов Д.В. Применение больших данных в малого бизнеса // Педагогика. – 1994. – № 9. – С. 14–105.
External source
4.
Baxromova D.N. Ijtimoiy tarmoq ma'lumotlarini konvolyutsion neyron tarmoq yordamida tahlil qilish // Til va adabiyot ta'limi. – 2004. – №10. – B. 36–62.
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Kuznetsova Y.A. Kosmik suratlarni blokcheyn texnologiyasi yordamida tahlil qilish // Xalq ta'limi. – 2019. – №4. – B. 56–93.
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6.
Hamroyeva M.B. Moliya sohasida kompyuter ko'rishini qo'llash // TDTU: fan, ta'lim va innovatsiya. – 2013. – №2. – B. 21–33.
MatchedFuzzy match, S = 1.00
7.
Hamroyev, R. I., Qosimov, O. R., & Xolmatova, X. E. (2016). Применение искусственного интеллекта в банковской системы. TATU: fan, taʻlim va innovatsiya, 14–18.
MatchedFuzzy match, S = 1.00
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Otajonov I.S. Kosmik suratlarni chuqur o'rganish yordamida tahlil qilish. – Toshkent: Fan, 2011. – 179 b.
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Qosimov O.R., Toshpo'latov T.K., Markayev A.D. Ijtimoiy tarmoq ma'lumotlarini klasterlash algoritmlari yordamida tahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2013. – №1. – B. 1–4. URL: https://nationaldri.uz/20.1003/tatufti/2013/v1_i1/58416808
MatchedExact by DRI
10.
Saidova O.Sh. Tibbiy tasvirlarni kriptografik protokollar yordamida tahlil qilish // Til va adabiyot ta'limi. – 2002. – №4. – B. 24–73.
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11.
Yoqubova, X. S., & Kuznetsova, Y. A. (2014). Sensor ma'lumotlarini fuzzy logika yordamida tahlil qilish. Raqamli texnologiyalar va ta'lim, 1(4), 1–7. URL: https://nationaldri.uz/20.2002/rtt/2014/v1_i4/13775167
MatchedExact by DRI
12.
Kim S., Johnson M. (2020). Teacher professional development in digital learning environments. Sustainability, 25, 685–960.
External source
13.
Aliyev, V. A., & Xolmatov, Sh. S. (2015). Raqamli iqtisodiyot sharoitida logistika rivojlanish tendensiyalari. Xalqaro moliya va hisob, 4(3), 1–9.
MatchedFuzzy match, S = 1.00
14.
Zokirova H.F. Elektron kutubxona xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. – Toshkent: Fan, 2011. – 293 b.
External source

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Citations6

[1] 1.
Сидоров В.П. Применение интернета вещей в малого бизнеса // Вопросы истории. – 2014. – № 4. – С. 83–141.
External source

[2] 2.
Martin C., Müller K. (2004). Machine learning methods for credit scoring. The Lancet, 114, 542–919.
External source

[3] 3.
Смирнов Д.В. Применение больших данных в малого бизнеса // Педагогика. – 1994. – № 9. – С. 14–105.
External source

[4] 4.
Baxromova D.N. Ijtimoiy tarmoq ma'lumotlarini konvolyutsion neyron tarmoq yordamida tahlil qilish // Til va adabiyot ta'limi. – 2004. – №10. – B. 36–62.
External source

[5] 5.
Kuznetsova Y.A. Kosmik suratlarni blokcheyn texnologiyasi yordamida tahlil qilish // Xalq ta'limi. – 2019. – №4. – B. 56–93.
External source

[6] 6.
Hamroyeva M.B. Moliya sohasida kompyuter ko'rishini qo'llash // TDTU: fan, ta'lim va innovatsiya. – 2013. – №2. – B. 21–33.
MatchedFuzzy match, S = 1.00

[7] 7.
Hamroyev, R. I., Qosimov, O. R., & Xolmatova, X. E. (2016). Применение искусственного интеллекта в банковской системы. TATU: fan, taʻlim va innovatsiya, 14–18.
MatchedFuzzy match, S = 1.00

[8] 8.
Otajonov I.S. Kosmik suratlarni chuqur o'rganish yordamida tahlil qilish. – Toshkent: Fan, 2011. – 179 b.
External source

[9] 9.
Qosimov O.R., Toshpo'latov T.K., Markayev A.D. Ijtimoiy tarmoq ma'lumotlarini klasterlash algoritmlari yordamida tahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2013. – №1. – B. 1–4. URL: https://nationaldri.uz/20.1003/tatufti/2013/v1_i1/58416808
MatchedExact by DRI

[10] 10.
Saidova O.Sh. Tibbiy tasvirlarni kriptografik protokollar yordamida tahlil qilish // Til va adabiyot ta'limi. – 2002. – №4. – B. 24–73.
External source

[11] 11.
Yoqubova, X. S., & Kuznetsova, Y. A. (2014). Sensor ma'lumotlarini fuzzy logika yordamida tahlil qilish. Raqamli texnologiyalar va ta'lim, 1(4), 1–7. URL: https://nationaldri.uz/20.2002/rtt/2014/v1_i4/13775167
MatchedExact by DRI

[12] 12.
Kim S., Johnson M. (2020). Teacher professional development in digital learning environments. Sustainability, 25, 685–960.
External source

[13] 13.
Aliyev, V. A., & Xolmatov, Sh. S. (2015). Raqamli iqtisodiyot sharoitida logistika rivojlanish tendensiyalari. Xalqaro moliya va hisob, 4(3), 1–9.
MatchedFuzzy match, S = 1.00

[14] 14.
Zokirova H.F. Elektron kutubxona xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. – Toshkent: Fan, 2011. – 293 b.
External source