Vol. 2 No. 14 (2025): International Journal of Science and Technology
Articles

5G VA IOT TARMOQLARIDA MA’LUMOT UZATISH SAMARADORLIGINI OSHIRISH UCHUN SUN’IY INTELLEKT ASOSIDAGI TAHLIL USULLARI

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  • Toshboltayev Faxriddin O‘rinboyevich,
  • Mamadaliyev Azizbek Sobirjon o‘g‘li,
  • O‘ktamova Fotimaxon Rustamjon qizi

Published 04-11-2025

Keywords

  • 5G, IoT, sun’iy intellekt, mashinaviy o‘rganish, kechikish, tarmoqli kenglik, Edge AI, Federated Learning, optimallashtirish, tarmoq boshqaruvi
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

5G VA IOT TARMOQLARIDA MA’LUMOT UZATISH SAMARADORLIGINI OSHIRISH UCHUN SUN’IY INTELLEKT ASOSIDAGI TAHLIL USULLARI. (2025). INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 2(14), 8-10. https://doi.org/10.70728/tech.v02.i14.002

Abstract

Ushbu maqolada 5G va Internet of Things (IoT) tarmoqlarida ma’lumot uzatish samaradorligini oshirishda
sun’iy intellekt (AI) va mashinaviy o‘rganish (ML) texnologiyalarining o‘rni yoritilgan. Tarmoq kechikishini
kamaytirish, tarmoqli kengligini optimal taqsimlash hamda real vaqtli uzatish sifatini oshirish uchun
ilg‘or algoritmik yechimlar tahlil qilinadi. Shuningdek, 5G-IoT integratsiyasida Edge AI va Federated Learning
texnologiyalarining afzalliklari ko‘rsatilib, yangi adaptiv boshqaruv modeli taklif etiladi. Natijalar sun’iy
intellekt yondashuvlari yordamida tarmoq samaradorligini sezilarli darajada yaxshilash mumkinligini tasdiqlaydi.

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