Aqlli uy tizimi uchun chuqur o'rganish asosida trafikni prognozlash

Камолова Гулнора Салим қизи

Dissertation · 2024

Aqlli uy tizimi uchun chuqur o'rganish asosida trafikni prognozlash

Application of convolutional neural networks for anomaly detection

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20.1006/diss/d2024/96497783Uzbek

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Камолова Гулнора Салим қизи ORCID 0000-0002-0018-5194 (opens in a new tab)
TDTU

Abstract

Ushbu maqolada «Aqlli uy tizimi uchun chuqur o'rganish asosida trafikni prognozlash» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Muallif tomonidan aqlli uy tizimi bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1006/diss/d2024/96497783
Work type: Dissertation
Published: 13 April 2024
Language: Uzbek
Passport mirror: synced 21/09/2026, 16:50, version 1

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Excluding self-citations: 1

Excluding self-citations

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References

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

24 entries10 matched1 under review13 external

1.
Kamolova, G. S. (2022). IOT TARMOG'I UCHUN GENETIK ALGORITMLAR ASOSIDA TASVIRLARNI SEGMENTATSIYALASH (FARG'ONA VILOYATI MISOLIDA). TDTU: fan, ta'lim va innovatsiya, 12(2), 16–27.
MatchedFuzzy match, S = 1.00→ IoT tarmog'i uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash (Farg'ona viloyati misolida)
2.
Durdiyev A.O. Transport sohasida blokcheynni qo'llash // Xalq ta'limi. – 2013. – №6. – B. 52–105.
External source
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Qosimov, O. R., & Normatov, A. I. (2021). Elektron hukumat tizimi uchun transformer modeli asosida nutqni tanib olish. TATU: fan, ta'lim va innovatsiya, 9(2), 39–50. DRI: 20.1003/tatufti/2021/v9_i2/68032873
MatchedExact by DRI
4.
Markayeva F.A. Sensor ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish // Til va adabiyot ta'limi. – 2009. – №7. – B. 39–62.
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Asqarova Z.Q. Moliya sohasida narsalar internetini qo'llash. – Toshkent: Fan, 2019. – 96 b.
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MatchedFuzzy match, S = 1.00
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Garcia L. O'zbek tilidagi matnlar korpusi xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. – Toshkent: Fan, 2006. – 241 b.
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Nguyen T., Martin C., Garcia L. (2016). Financial inclusion and small business development revisited. Journal of Chemical Education, 152, 629–943.
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Kuznetsova Y.A. Elektron kutubxona uchun transformer modeli asosida tasvirlarni segmentatsiyalash // Til va adabiyot ta'limi. – 2016. – №4. – B. 50–65.
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Anderson R., Tanaka H. (2009). Blockchain applications in public administration in developing countries. The Lancet, 35, 588–986.
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Rasulov S.U., Haydarov D.G'., Mamatov M.I. Bulutli hisoblash muhiti xavfsizligini ta'minlashda kompyuter 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
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Smith J. (2023). Financial inclusion and small business development. Energy Policy, 40, 560–944.
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Berdiyev U.A. Davlat boshqaruvi sohasida sunʼiy // TATU: fan, taʼlim va innovatsiya. – 2018. – №4. – B. 1–13.
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Volkov A.N. Moliya sohasida kompyuter ko'rishini qo'llash // Til va adabiyot ta'limi. – 2022. – №2. – B. 22–71.
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Bozorova R.F. Davlat boshqaruvi sohasida katta ma'lumotlarni qo'llash // Til va adabiyot ta'limi. – 2007. – №4. – B. 11–62.
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Ikromova, N. R., Ikromov, T. J., & Ahmadjonova, N. S. (2016). Qadimgi davrda Surxon vohasida ta'lim tizimi tarixi. TerDU ilmiy axborotnomasi, 8(10), 1–4.
MatchedFuzzy match, S = 1.00
19.
Kamolova G.S., Volkov A.N. Shamol generatori energiya sarfini eksperimental tadqiqot yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2023. – B. 48–56.
MatchedFuzzy match, S = 1.00
20.
Smirnov D.V. Bank axborot tizimi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari. – Toshkent: Universitet, 2019. – 181 b.
External source
21.
Камолова, Г. С. (2023). Ўзбек тилидаги матнлар корпуси учун фуззй логика асосида тасвирларни сегментатсиялаш. Техника юлдузлари, 13–24.
MatchedFuzzy match, S = 1.00
22.
Kamolova, G. S., Rasulova, M. J., Fayziyev, A. K., et al. (2019). Sensor ma'lumotlarini klatserlash algoritmlari yordamida tahlil qilish. Texnika yulduzlari, 1–4. DRI: 20.1006/ty/2019/i11/99066746
MatchedExact by DRI
23.
Kamolova G.S., Ergashev Z.I., Kuznetsova Y.A. Aqlli uy tizimi uchun konvolyutsion neyron tarmoq asosida tavsiya tiziini yaratish // TDTU: fan, ta'lim va innovatsiya. – 2019. – №2. – B. 29–39. – DRI 20.1006/tdtufti/2019/v9_i2/36699701
MatchedExact by DRI
24.
Ergasheva N.I., Aliyeva F.N., Jalilova D.T. Kosmik suratlarni chuqur o'rganish yordamida tahlil qilish // TATU axborotnomasi. – 2015. – №4. – B. 1–12.
MatchedFuzzy match, S = 1.00

Citing works

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

To'qimachilik sanoati korxonalarida moliyaviy boshqaruv samaradorligini oshirish yo'llari (Farg'ona viloyati misolida)
Authors: Aliyev Baxtiyor, Mansurova RayhonaXalqaro moliya va hisob
DRI20.1017/81827797 Open on nationaldri.uzArticle3views0downloads
Year2025
Citations0

[1] 1.
Kamolova, G. S. (2022). IOT TARMOG'I UCHUN GENETIK ALGORITMLAR ASOSIDA TASVIRLARNI SEGMENTATSIYALASH (FARG'ONA VILOYATI MISOLIDA). TDTU: fan, ta'lim va innovatsiya, 12(2), 16–27.
MatchedFuzzy match, S = 1.00→ IoT tarmog'i uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash (Farg'ona viloyati misolida)

[2] 2.
Durdiyev A.O. Transport sohasida blokcheynni qo'llash // Xalq ta'limi. – 2013. – №6. – B. 52–105.
External source

[3] 3.
Qosimov, O. R., & Normatov, A. I. (2021). Elektron hukumat tizimi uchun transformer modeli asosida nutqni tanib olish. TATU: fan, ta'lim va innovatsiya, 9(2), 39–50. DRI: 20.1003/tatufti/2021/v9_i2/68032873
MatchedExact by DRI

[4] 4.
Markayeva F.A. Sensor ma'lumotlarini tasodifiy o'rmon algoritmi yordamida tahlil qilish // Til va adabiyot ta'limi. – 2009. – №7. – B. 39–62.
External source

[5] 5.
Asqarova Z.Q. Moliya sohasida narsalar internetini qo'llash. – Toshkent: Fan, 2019. – 96 b.
External source

[6] 6.
Лебедева О.М. Применение блокчейна в банковской системы // Экономика и математические методы. – 1994. – № 7. – С. 61–149.
External source

[7] 7.
Kuznetsova Y.A. O'zbek tilidagi matnlar korpusi xavfsizligini ta'minlashda blokcheyn imkoniyatlari // Til va adabiyot ta'limi. – 2005. – №10. – B. 54–76.
External source

[8] 8.
Mamatov M.I., Valiyev G`.J., Hamroyev R.I., va boshq. IoT tarmog`i uchun fuzzy logika asosida anomaliyalarni aniqlash // TATU ilmiy-uslubiy jurnali. – 2014. – №4. – B. 1–9.
MatchedFuzzy match, S = 1.00

[9] 9.
Garcia L. O'zbek tilidagi matnlar korpusi xavfsizligini ta'minlashda katta ma'lumotlar imkoniyatlari. – Toshkent: Fan, 2006. – 241 b.
External source

[10] 10.
Nguyen T., Martin C., Garcia L. (2016). Financial inclusion and small business development revisited. Journal of Chemical Education, 152, 629–943.
External source

[11] 11.
Kuznetsova Y.A. Elektron kutubxona uchun transformer modeli asosida tasvirlarni segmentatsiyalash // Til va adabiyot ta'limi. – 2016. – №4. – B. 50–65.
External source

[12] 12.
Anderson R., Tanaka H. (2009). Blockchain applications in public administration in developing countries. The Lancet, 35, 588–986.
External source

[13] 13.
Rasulov S.U., Haydarov D.G'., Mamatov M.I. Bulutli hisoblash muhiti xavfsizligini ta'minlashda kompyuter 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

[14] 14.
Smith J. (2023). Financial inclusion and small business development. Energy Policy, 40, 560–944.
External source

[15] 15.
Berdiyev U.A. Davlat boshqaruvi sohasida sunʼiy // TATU: fan, taʼlim va innovatsiya. – 2018. – №4. – B. 1–13.
Under review

[16] 16.
Volkov A.N. Moliya sohasida kompyuter ko'rishini qo'llash // Til va adabiyot ta'limi. – 2022. – №2. – B. 22–71.
External source

[17] 17.
Bozorova R.F. Davlat boshqaruvi sohasida katta ma'lumotlarni qo'llash // Til va adabiyot ta'limi. – 2007. – №4. – B. 11–62.
External source

[18] 18.
Ikromova, N. R., Ikromov, T. J., & Ahmadjonova, N. S. (2016). Qadimgi davrda Surxon vohasida ta'lim tizimi tarixi. TerDU ilmiy axborotnomasi, 8(10), 1–4.
MatchedFuzzy match, S = 1.00

[19] 19.
Kamolova G.S., Volkov A.N. Shamol generatori energiya sarfini eksperimental tadqiqot yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2023. – B. 48–56.
MatchedFuzzy match, S = 1.00

[20] 20.
Smirnov D.V. Bank axborot tizimi xavfsizligini ta'minlashda narsalar interneti imkoniyatlari. – Toshkent: Universitet, 2019. – 181 b.
External source

[21] 21.
Камолова, Г. С. (2023). Ўзбек тилидаги матнлар корпуси учун фуззй логика асосида тасвирларни сегментатсиялаш. Техника юлдузлари, 13–24.
MatchedFuzzy match, S = 1.00

[22] 22.
Kamolova, G. S., Rasulova, M. J., Fayziyev, A. K., et al. (2019). Sensor ma'lumotlarini klatserlash algoritmlari yordamida tahlil qilish. Texnika yulduzlari, 1–4. DRI: 20.1006/ty/2019/i11/99066746
MatchedExact by DRI

[23] 23.
Kamolova G.S., Ergashev Z.I., Kuznetsova Y.A. Aqlli uy tizimi uchun konvolyutsion neyron tarmoq asosida tavsiya tiziini yaratish // TDTU: fan, ta'lim va innovatsiya. – 2019. – №2. – B. 29–39. – DRI 20.1006/tdtufti/2019/v9_i2/36699701
MatchedExact by DRI

[24] 24.
Ergasheva N.I., Aliyeva F.N., Jalilova D.T. Kosmik suratlarni chuqur o'rganish yordamida tahlil qilish // TATU axborotnomasi. – 2015. – №4. – B. 1–12.
MatchedFuzzy match, S = 1.00

“Aqlli uy tizimi uchun chuqur o'rganish asosida trafikni prognozlash”: views and downloads by month
month	Views	Downloads
May 2026	1	0
Jul 2026	1	0
Aug 2026	1	0

“Aqlli uy tizimi uchun chuqur o'rganish asosida trafikni prognozlash”: views and downloads by month
month	Views	Downloads
May 2026	1	0
Jul 2026	1	0
Aug 2026	1	0