IoT tarmog'i xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari

Kamolova Gulnora Salim qizi; Zokirov Sh.K.

Book · 2021

IoT tarmog'i xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari

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20.2001/monografiya/b2021/42538866Uzbek

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Authors

Kamolova Gulnora Salim qizi ORCID 0000-0002-0018-5194 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti
Zokirov Sh.K.ORCID 0000-0002-0018-2188 (opens in a new tab)
Ташкентский государственный технический университет имени Ислама Каримова

Abstract

Ushbu maqolada «IoT tarmog'i xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Natijalar IoT tarmog'i samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.2001/monografiya/b2021/42538866
Work type: Book
Published: 13 June 2021
Language: Uzbek
Passport mirror: synced 21/09/2026, 16:48, version 1

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Excluding self-citations: 3

Excluding self-citations

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References

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

16 entries10 matched0 under review6 external

1.
Петрова А.С. Применение больших данных в туризма. – М.: Наука, 1995. – 336 с.
External source
2.
Egamberdiyev B.U., Qosimov O.R., Sidorov V.P. Sensor ma'lumotlarini konvolyutsion neyron tarmoq yordamida ahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2018. – №1. – B. 1–10.
MatchedFuzzy match, S = 1.00→ Sensor ma'lumotlarini konvolyutsion neyron tarmoq yordamida tahlil qilish
3.
Qosimov O.R. Qishloq xo'jaligi sohasida kompyuter ko'rishini qo'llash // TATU axborotnomasi. – 2017. – №2. – B. 5–14.
MatchedFuzzy match, S = 1.00
4.
Lee J. (2009). A meta-analysis of active learning in STEM education. IEEE Access, 99, 871–926.
External source
5.
Qurbonov, M. U., & Jumayev, E. S. (2015). Sog'liqni saqlash sohasida sun'iy intellektni qo'llash. TATU: fan, ta'lim va innovatsiya, 3(3), 27–37. – DRI 20.1003/tatufti/2015/v3_i3/64840139
MatchedExact by DRI
6.
Hakimova, S. G'., & Egamberdiyeva, Y. S. (2019). Appliction of deep learning for text classification. TATU ilmiy-uslubiy jurnali, 6(1), 1–12. https://doi.org/10.52010/tatuilm.2019.6.1.1
MatchedExact by DOI
7.
Ergasheva, N. I., Aliyeva, F. N., & Jalilova, D. T. (2015). Kosmik suratlarni chuqur o‘rganish yordamida tahlil qilish. TATU axborotnomasi, 1–12.
MatchedFuzzy match, S = 1.00
8.
Chen Y., Silva R., Lee J. (2003). Gamification in education: a systematic review: evidence from panel data. IEEE Access, 164, 699–953. DOI: 10.1109/ACCESS.2003.103585
External source
9.
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.
MatchedFuzzy match, S = 1.00
10.
Valiyev, G'. J., To'xtayeva, N. F., & Rahimova, S. B. (2014). Masofaviy ta'lim platformasi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari. TATU: fan, ta'lim va innovatsiya, 2(3), 1–11. https://nationaldri.uz/20.1003/tatufti/2014/v2_i3/24225440
MatchedExact by DRI
11.
Ibragimov E.A., Zaripova D.J., Hamroyeva M.B. Elektron kutubxona uchun konvolyutsion neyron tarmoq asosida ma'lumotlarni tasniflash // TATU ilmiy-uslubiy jurnali. – 2017. – №4. – B. 1–8. https://doi.org/10.52010/tatuilm.2017.4.4.1
MatchedExact by DOI
12.
Волков А.Н. Применение интернета вещей в малого бизнеса. – М.: Наука, 1989. – 387 с.
External source
13.
Kamolova, G. S. (2021). Bulutli hisoblash muhiti uchun fuzzy logika asosida ma'lumotlarni tasnilash. TATU: fan, ta'lim va innovatsiya, 9(2), 33–38.
MatchedFuzzy match, S = 1.00
14.
Иванов И.И. Применение искусственного интеллекта в банковской системы // Экономика и математические методы. – 2003. – № 9. – С. 45–128.
External source
15.
Ro'ziyev, A. E. (2012). Sut emizuvchilarining genetik xilma-xilligi. O'zbekiston biologiya jurnali, 2(3), 1–7. https://nationaldri.uz/20.2001/ubj/2012/v2_i3/24948843
MatchedExact by DRI
16.
Brown A., Novak P., Tanaka H. (2014). Clinical outcomes of metformin therapy in type 2 diabetes. The Lancet, 147, 362–924.
External source

Citing works

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

Geoaxborot tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash
Authors: Nurmatova Nargiza Komil qiziTDTU ilmiy-uslubiy jurnali
DRI20.1006/tdtuilm/2025/v17_i3/88012241 Open on nationaldri.uzArticle7views0downloads
Year2025
Citations2
Tibbiy axborot tizimi xavfsizligini ta'minlashda sun'iy intellekt imkoniyatlari
Authors: M. Qurbonov, Baxromova ZarinaO'zbekiston fizika jurnali
DRI20.2001/ufj/2022/v5_i1/87456214 Open on nationaldri.uzArticle16views0downloads
Year2022
Citations6
Authors: , Latipov K.O., , TATU ilmiy-uslubiy jurnali
DRI20.1003/tatuilm/2022/v9_i1/39729409 Open on nationaldri.uzArticle5views0downloads
Year2022
Citations2

[1] 1.
Петрова А.С. Применение больших данных в туризма. – М.: Наука, 1995. – 336 с.
External source

[2] 2.
Egamberdiyev B.U., Qosimov O.R., Sidorov V.P. Sensor ma'lumotlarini konvolyutsion neyron tarmoq yordamida ahlil qilish // TATU: fan, ta'lim va innovatsiya. – 2018. – №1. – B. 1–10.
MatchedFuzzy match, S = 1.00→ Sensor ma'lumotlarini konvolyutsion neyron tarmoq yordamida tahlil qilish

[3] 3.
Qosimov O.R. Qishloq xo'jaligi sohasida kompyuter ko'rishini qo'llash // TATU axborotnomasi. – 2017. – №2. – B. 5–14.
MatchedFuzzy match, S = 1.00

[4] 4.
Lee J. (2009). A meta-analysis of active learning in STEM education. IEEE Access, 99, 871–926.
External source

[5] 5.
Qurbonov, M. U., & Jumayev, E. S. (2015). Sog'liqni saqlash sohasida sun'iy intellektni qo'llash. TATU: fan, ta'lim va innovatsiya, 3(3), 27–37. – DRI 20.1003/tatufti/2015/v3_i3/64840139
MatchedExact by DRI

[6] 6.
Hakimova, S. G'., & Egamberdiyeva, Y. S. (2019). Appliction of deep learning for text classification. TATU ilmiy-uslubiy jurnali, 6(1), 1–12. https://doi.org/10.52010/tatuilm.2019.6.1.1
MatchedExact by DOI

[7] 7.
Ergasheva, N. I., Aliyeva, F. N., & Jalilova, D. T. (2015). Kosmik suratlarni chuqur o‘rganish yordamida tahlil qilish. TATU axborotnomasi, 1–12.
MatchedFuzzy match, S = 1.00

[8] 8.
Chen Y., Silva R., Lee J. (2003). Gamification in education: a systematic review: evidence from panel data. IEEE Access, 164, 699–953. DOI: 10.1109/ACCESS.2003.103585
External source

[9] 9.
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.
MatchedFuzzy match, S = 1.00

[10] 10.
Valiyev, G'. J., To'xtayeva, N. F., & Rahimova, S. B. (2014). Masofaviy ta'lim platformasi xavfsizligini ta'minlashda kompyuter ko'rishi imkoniyatlari. TATU: fan, ta'lim va innovatsiya, 2(3), 1–11. https://nationaldri.uz/20.1003/tatufti/2014/v2_i3/24225440
MatchedExact by DRI

[11] 11.
Ibragimov E.A., Zaripova D.J., Hamroyeva M.B. Elektron kutubxona uchun konvolyutsion neyron tarmoq asosida ma'lumotlarni tasniflash // TATU ilmiy-uslubiy jurnali. – 2017. – №4. – B. 1–8. https://doi.org/10.52010/tatuilm.2017.4.4.1
MatchedExact by DOI

[12] 12.
Волков А.Н. Применение интернета вещей в малого бизнеса. – М.: Наука, 1989. – 387 с.
External source

[13] 13.
Kamolova, G. S. (2021). Bulutli hisoblash muhiti uchun fuzzy logika asosida ma'lumotlarni tasnilash. TATU: fan, ta'lim va innovatsiya, 9(2), 33–38.
MatchedFuzzy match, S = 1.00

[14] 14.
Иванов И.И. Применение искусственного интеллекта в банковской системы // Экономика и математические методы. – 2003. – № 9. – С. 45–128.
External source

[15] 15.
Ro'ziyev, A. E. (2012). Sut emizuvchilarining genetik xilma-xilligi. O'zbekiston biologiya jurnali, 2(3), 1–7. https://nationaldri.uz/20.2001/ubj/2012/v2_i3/24948843
MatchedExact by DRI

[16] 16.
Brown A., Novak P., Tanaka H. (2014). Clinical outcomes of metformin therapy in type 2 diabetes. The Lancet, 147, 362–924.
External source

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