IoT tarmog'i uchun genetik algoritmlar asosida trafikni prognozlash

Kamolova Gulnora Salim qizi

doi:10.52008/mxa.2026.13.8.4

Article · 2026

IoT tarmog'i uchun genetik algoritmlar asosida trafikni prognozlash

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20.1003/mxa/2026/v13_i8/87702479Uzbek

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Kamolova Gulnora Salim qizi ORCID 0000-0002-0018-5194 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti

Abstract

Ushbu maqolada «IoT tarmog'i uchun genetik algoritmlar asosida trafikni prognozlash» mavzusi tahlil qilingan. Tadqiqot davomida 143 nafar respondent ishtirokida tajriba-sinov ishlari o'tkazildi. Natijalar IoT tarmog'i samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.1003/mxa/2026/v13_i8/87702479
Work type: Article
Journal: Muhammad al-Xorazmiy avlodlariISSN 2181-0176
Volume and issue: Vol. 13, No. 8
Pages: 31–41
Published: 18 August 2026
Language: Uzbek
External DOI: 10.52008/mxa.2026.13.8.4 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 17:50, version 1

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References

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

18 entries7 matched2 under review9 external

1.
Davletova, R. S., Kenjayeva, M. M., Nazarova, S. X., et al. (2018). IoT tarmog'i uchun kriptografik protokollar asosida ma'lumotlarni tasniflash. TDTU: fan, ta'lim va innovatsiya, 8(1), 10–18. DRI: 20.1006/tdtufti/2018/v8_i1/89648732
MatchedExact by DRI→ IoT tarmog'i uchun kriptografik protokollar asosida ma'lumotlarni tasniflash
2.
Smith J. (1999). Gamification in education: a systematic review in developing countries. IEEE Access, 23, 416–962.
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Ibragimov E.A., Yoqubova M.Sh. Qishloq xo'jaligi sohasida katta ma'lumotlarni qo'llash // TATU: fan, ta'lim va innovatsiya. – 2017. – №4. – B. 1–11. URL: https://nationaldri.uz/20.1003/tatufti/2017/v5_i4/80485281
MatchedExact by DRI
5.
Tanaka H. Tibbiy tasvirlarni genetik algoritmlar yordamida tahlil qilish // Til va adabiyot ta'limi. – 2002. – №12. – B. 40–65.
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Safarova S.A. Bulutli hisoblash muhiti xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari // Til va adabiyot ta'limi. – 2020. – №4. – B. 37–66.
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8.
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. https://doi.org/10.52011/tatufti.2015.3.3.3
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Sharipova, Sh. K. (2017). Применение интернета вщеей в текстильной промышленности. Toshkent. – DRI 20.1006/diss/d2017/47164038
MatchedExact by DRI
10.
Jabborov, B. S., Mamatov, M. I., Gʼaniyev, R. Sh., et al. (2025). Tibbiy axborot tizimi uchun konvolyutsion neyron tamroq asosida nutqni tanib olish. TATU: fan, taʼlim va innovatsiya, 14(2), 38–49.
MatchedFuzzy match, S = 0.97
11.
Lee J. (2005). Deep residual learning for image recognition. Computers & Education, 126, 65–977. https://doi.org/10.1016/j.compedu.2005.993843
External source
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Brown A. (2002). Clinical outcomes of metformin therapy in type 2 diabetes. IEEE Access, 68, 89–981. https://doi.org/10.1109/ACCESS.2002.885415
External source
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Волков А.Н. Применение интернета вещей в туризма // Педагогика. – 1987. – № 6. – С. 22–126.
External source
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Tanaka H., Johnson M., Kim S. (2018). Thin film solar cells: materials and performance. Physical Review B, 169, 440–958. DOI: 10.1103/PhysRevB.2018.785996
External source
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Valiyev Gʼ.J., Olimov Gʼ.P., Ahmadjonov V.Sh., va boshq. Sogʼliqni saqlash sohasida blokcheynni qoʼllash // Fan-sportga. – 2015. – №4. – B. 1–12.
MatchedFuzzy match, S = 1.00
16.
Kamolova G.S., Nurmatova U.S. ПРИМЕНЕНИЕ ИСКУССТВЕННОГО В ТЕКСТИЛЬНОЙ ПРОМЫШЛЕННОСТИ // Ekologiya xabarnomasi. – 2019. – №1. – B. 1–9.
MatchedFuzzy match, S = 0.99
17.
Islomov E.O. Qishloq xo'jaligi sohasida narsalar internetini qo'llash. – Toshkent: Universitet, 2017. – 296 b.
Under review
18.
Kuznetsova Y.A. Bank axborot tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash // Xalq ta'limi. – 2011. – №1. – B. 12–96.
External source

Citing works

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

This work has not been cited yet

When other works in the registry cite this work, they will appear here.

[1] 1.
Davletova, R. S., Kenjayeva, M. M., Nazarova, S. X., et al. (2018). IoT tarmog'i uchun kriptografik protokollar asosida ma'lumotlarni tasniflash. TDTU: fan, ta'lim va innovatsiya, 8(1), 10–18. DRI: 20.1006/tdtufti/2018/v8_i1/89648732
MatchedExact by DRI→ IoT tarmog'i uchun kriptografik protokollar asosida ma'lumotlarni tasniflash

[2] 2.
Smith J. (1999). Gamification in education: a systematic review in developing countries. IEEE Access, 23, 416–962.
External source

[3] 3.
G'aniyev M.S. Bulutli hisoblash muhiti uchun blokcheyn texnologiyasi asosida tasvirlarni segmentatsiyalash. – Toshkent: Fan, 2008. – 175 b.
External source

[4] 4.
Ibragimov E.A., Yoqubova M.Sh. Qishloq xo'jaligi sohasida katta ma'lumotlarni qo'llash // TATU: fan, ta'lim va innovatsiya. – 2017. – №4. – B. 1–11. URL: https://nationaldri.uz/20.1003/tatufti/2017/v5_i4/80485281
MatchedExact by DRI

[5] 5.
Tanaka H. Tibbiy tasvirlarni genetik algoritmlar yordamida tahlil qilish // Til va adabiyot ta'limi. – 2002. – №12. – B. 40–65.
External source

[6] 6.
Safarova S.A. Bulutli hisoblash muhiti xavfsizligini ta'minlashda tabiiy tilni qayta ishlash imkoniyatlari // Til va adabiyot ta'limi. – 2020. – №4. – B. 37–66.
External source

[7] 7.
Жабборов Б.С., Раҳимов Э.Д. Космик криптграфик протоколлар ёрдамида таҳлил қилиш баъзи // ТАТУ ахборотномаси. – 2019. – №1. – Б. 5–16.
Under review

[8] 8.
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. https://doi.org/10.52011/tatufti.2015.3.3.3
MatchedExact by DOI

[9] 9.
Sharipova, Sh. K. (2017). Применение интернета вщеей в текстильной промышленности. Toshkent. – DRI 20.1006/diss/d2017/47164038
MatchedExact by DRI

[10] 10.
Jabborov, B. S., Mamatov, M. I., Gʼaniyev, R. Sh., et al. (2025). Tibbiy axborot tizimi uchun konvolyutsion neyron tamroq asosida nutqni tanib olish. TATU: fan, taʼlim va innovatsiya, 14(2), 38–49.
MatchedFuzzy match, S = 0.97

[11] 11.
Lee J. (2005). Deep residual learning for image recognition. Computers & Education, 126, 65–977. https://doi.org/10.1016/j.compedu.2005.993843
External source

[12] 12.
Brown A. (2002). Clinical outcomes of metformin therapy in type 2 diabetes. IEEE Access, 68, 89–981. https://doi.org/10.1109/ACCESS.2002.885415
External source

[13] 13.
Волков А.Н. Применение интернета вещей в туризма // Педагогика. – 1987. – № 6. – С. 22–126.
External source

[14] 14.
Tanaka H., Johnson M., Kim S. (2018). Thin film solar cells: materials and performance. Physical Review B, 169, 440–958. DOI: 10.1103/PhysRevB.2018.785996
External source

[15] 15.
Valiyev Gʼ.J., Olimov Gʼ.P., Ahmadjonov V.Sh., va boshq. Sogʼliqni saqlash sohasida blokcheynni qoʼllash // Fan-sportga. – 2015. – №4. – B. 1–12.
MatchedFuzzy match, S = 1.00

[16] 16.
Kamolova G.S., Nurmatova U.S. ПРИМЕНЕНИЕ ИСКУССТВЕННОГО В ТЕКСТИЛЬНОЙ ПРОМЫШЛЕННОСТИ // Ekologiya xabarnomasi. – 2019. – №1. – B. 1–9.
MatchedFuzzy match, S = 0.99

[17] 17.
Islomov E.O. Qishloq xo'jaligi sohasida narsalar internetini qo'llash. – Toshkent: Universitet, 2017. – 296 b.
Under review

[18] 18.
Kuznetsova Y.A. Bank axborot tizimi uchun genetik algoritmlar asosida tasvirlarni segmentatsiyalash // Xalq ta'limi. – 2011. – №1. – B. 12–96.
External source