Elektron kutubxona xavfsizligini ta'minlashda narsalar interneti imkoniyatlari

Davron G'aniyev

doi:10.52008/mxa.2021.8.12.1

Article · 2021

Elektron kutubxona xavfsizligini ta'minlashda narsalar interneti imkoniyatlari

Big data in small business: a case of Uzbekistan

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20.1003/mxa/2021/v8_i12/96280761Uzbek

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Authors

Davron G'aniyev ORCID 0000-0002-0015-7820 (opens in a new tab)
TATU, Axborot texnologiyalari fakulteti

Abstract

Ushbu maqolada «Elektron kutubxona xavfsizligini ta'minlashda narsalar interneti imkoniyatlari» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Muallif tomonidan elektron kutubxona bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1003/mxa/2021/v8_i12/96280761
Work type: Article
Journal: Muhammad al-Xorazmiy avlodlariISSN 2181-0176
Volume and issue: Vol. 8, No. 12
Pages: 1–4
Published: 10 December 2021
Language: Uzbek
Subject: Axborot texnologiyalari
External DOI: 10.52008/mxa.2021.8.12.1 (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:49, version 3

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Excluding self-citations: 6

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References

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

21 entries9 matched1 under review11 external

1.
Сидоров В.П. Применение искусственного интеллекта в банковской системы // Физика твёрдого тела. – 1996. – № 11. – С. 39–107.
External source
2.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source
3.
Zokirova D.M. Ijtimoiy tarmoq ma'lumotlarini chuqur o'rganish yordamida tahlil qilish // Til va adabiyot ta'limi. – 2019. – №2. – B. 58–74.
Under review
4.
Smith J. Davlat boshqaruvi sohasida sun'iy intellektni qo'llash. – Toshkent: Adabiyot uchqunlari, 2009. – 214 b.
External source
5.
Olimov, E. S., Nurmatov, Sh. N., Jabborova, U. T., et al. (2012). Zamonaviy o'zbek adabiyotida ramziy obrazlar masalasi. O'zDJTU ilmiy-uslubiy jurnali, 2(3), 29–40.
MatchedFuzzy match, S = 1.00
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Schmidt P. (2011). Renewable energy transition in Central Asia. The Lancet, 171, 81–980.
External source
7.
Ushinskiy K.D. Tanlangan pedagogik asarlar. – Toshkent: O'qituvchi, 1968. – 380 b.
External source
8.
Hamroyeva, M. B., & Jumayev, H. E. (2021). IoT tarmog'i uchun fuzzy logika asosia ma'lumotlarni tasniflash (Navoiy viloyati misolida). TATU: fan, ta'lim va innovatsiya, 9(3), 1–10. DRI: 20.1003/tatufti/2021/v9_i3/85024991
MatchedExact by DRI
9.
Novak P., Wang L., Rossi F. (2008). Machine learning methods for credit scoring in developing countries. Physical Review B, 17, 798–918.
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10.
Smith J. (2010). Teacher professional development in digital learning environments. Agricultural Water Management, 78, 440–914. DOI: 10.1016/j.agwat.2010.878827
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11.
Rasulov S.U., Haydarov D.G'., Mamatov M.I. Bulutli hisoblash muhiti xavfsizligini ta'minlashda kopyuter ko'rishi imkoniyatlari // TATU: fan, ta'lim va innovatsiya. – 2013. – №4. – B. 1–9. – DRI 20.1003/tatufti/2013/v1_i4/77392848
MatchedExact by DRI
12.
Kamolova G.S., Xolmatova H.S., Yusupova L.B. Application of transformer models for speech recognition // Texnika yulduzlari. – 2017. – №11. – B. 1–4.
MatchedFuzzy match, S = 1.00
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Lee J., Novak P., Martin C. (2018). Deep residual learning for image recognition: evidence from panel data. Sustainability, 152, 526–916.
External source
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Qosimov O.R., Temirov F.S., Zokirov D.Q. Применение интернета вещей в малого бизнеса // TATU ilmiy-uslubiy jurnali. – 2018. – №1. – B. 16–20.
MatchedFuzzy match, S = 1.00
15.
Aliyeva F.N., Ergashev M.S. Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2019. – B. 12–14. https://nationaldri.uz/20.1007/farduconf2019/2019/60611643
MatchedExact by DRI
16.
Schmidt P., Kumar V., Kim S. (2003). Clinical outcomes of metformin therapy in type 2 diabetes revisited. Computers & Education, 138, 182–907.
External source
17.
G'aniyev R.Sh. Application of convolutional neural networks for speech recognition // TATU axborotnomasi. – 2019. – №4. – B. 11–14.
MatchedFuzzy match, S = 1.00
18.
Wang L., Kim S., Chen Y. (2019). Gamification in education: a systematic review: evidence from panel data. IEEE Access, 38, 335–978. DOI: 10.1109/ACCESS.2019.240973
External source
19.
Temirova, S. A., G'aniyev, D. D., & Kenjayev, X. A. (2021). O'zbek va rus tillarida undov so'zlarning qiyosiy tahlili (Qoraqalpog'iston Respublikasi. O'zbek tili va adabiyoti, 14(2), 11–15.
MatchedFuzzy match, S = 1.00
20.
Usmonov, B. U., Mamatov, A. H., Müller, K., et al. (2016). Assessment of innovation activity in the banking sector: evidence from Uzbekistan. Xalqaro moliya va hisob, 5(5), 1–8.
MatchedFuzzy match, S = 1.00
21.
Иванов И.И. Применение больших данных в малого бизнеса. – М.: Наука, 1985. – 342 с.
External source

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[1] 1.
Сидоров В.П. Применение искусственного интеллекта в банковской системы // Физика твёрдого тела. – 1996. – № 11. – С. 39–107.
External source

[2] 2.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source

[3] 3.
Zokirova D.M. Ijtimoiy tarmoq ma'lumotlarini chuqur o'rganish yordamida tahlil qilish // Til va adabiyot ta'limi. – 2019. – №2. – B. 58–74.
Under review

[4] 4.
Smith J. Davlat boshqaruvi sohasida sun'iy intellektni qo'llash. – Toshkent: Adabiyot uchqunlari, 2009. – 214 b.
External source

[5] 5.
Olimov, E. S., Nurmatov, Sh. N., Jabborova, U. T., et al. (2012). Zamonaviy o'zbek adabiyotida ramziy obrazlar masalasi. O'zDJTU ilmiy-uslubiy jurnali, 2(3), 29–40.
MatchedFuzzy match, S = 1.00

[6] 6.
Schmidt P. (2011). Renewable energy transition in Central Asia. The Lancet, 171, 81–980.
External source

[7] 7.
Ushinskiy K.D. Tanlangan pedagogik asarlar. – Toshkent: O'qituvchi, 1968. – 380 b.
External source

[8] 8.
Hamroyeva, M. B., & Jumayev, H. E. (2021). IoT tarmog'i uchun fuzzy logika asosia ma'lumotlarni tasniflash (Navoiy viloyati misolida). TATU: fan, ta'lim va innovatsiya, 9(3), 1–10. DRI: 20.1003/tatufti/2021/v9_i3/85024991
MatchedExact by DRI

[9] 9.
Novak P., Wang L., Rossi F. (2008). Machine learning methods for credit scoring in developing countries. Physical Review B, 17, 798–918.
External source

[10] 10.
Smith J. (2010). Teacher professional development in digital learning environments. Agricultural Water Management, 78, 440–914. DOI: 10.1016/j.agwat.2010.878827
External source

[11] 11.
Rasulov S.U., Haydarov D.G'., Mamatov M.I. Bulutli hisoblash muhiti xavfsizligini ta'minlashda kopyuter ko'rishi imkoniyatlari // TATU: fan, ta'lim va innovatsiya. – 2013. – №4. – B. 1–9. – DRI 20.1003/tatufti/2013/v1_i4/77392848
MatchedExact by DRI

[12] 12.
Kamolova G.S., Xolmatova H.S., Yusupova L.B. Application of transformer models for speech recognition // Texnika yulduzlari. – 2017. – №11. – B. 1–4.
MatchedFuzzy match, S = 1.00

[13] 13.
Lee J., Novak P., Martin C. (2018). Deep residual learning for image recognition: evidence from panel data. Sustainability, 152, 526–916.
External source

[14] 14.
Qosimov O.R., Temirov F.S., Zokirov D.Q. Применение интернета вещей в малого бизнеса // TATU ilmiy-uslubiy jurnali. – 2018. – №1. – B. 16–20.
MatchedFuzzy match, S = 1.00

[15] 15.
Aliyeva F.N., Ergashev M.S. Sensor ma'lumotlarini genetik algoritmlar yordamida tahlil qilish // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2019. – B. 12–14. https://nationaldri.uz/20.1007/farduconf2019/2019/60611643
MatchedExact by DRI

[16] 16.
Schmidt P., Kumar V., Kim S. (2003). Clinical outcomes of metformin therapy in type 2 diabetes revisited. Computers & Education, 138, 182–907.
External source

[17] 17.
G'aniyev R.Sh. Application of convolutional neural networks for speech recognition // TATU axborotnomasi. – 2019. – №4. – B. 11–14.
MatchedFuzzy match, S = 1.00

[18] 18.
Wang L., Kim S., Chen Y. (2019). Gamification in education: a systematic review: evidence from panel data. IEEE Access, 38, 335–978. DOI: 10.1109/ACCESS.2019.240973
External source

[19] 19.
Temirova, S. A., G'aniyev, D. D., & Kenjayev, X. A. (2021). O'zbek va rus tillarida undov so'zlarning qiyosiy tahlili (Qoraqalpog'iston Respublikasi. O'zbek tili va adabiyoti, 14(2), 11–15.
MatchedFuzzy match, S = 1.00

[20] 20.
Usmonov, B. U., Mamatov, A. H., Müller, K., et al. (2016). Assessment of innovation activity in the banking sector: evidence from Uzbekistan. Xalqaro moliya va hisob, 5(5), 1–8.
MatchedFuzzy match, S = 1.00

[21] 21.
Иванов И.И. Применение больших данных в малого бизнеса. – М.: Наука, 1985. – 342 с.
External source