Xo'jayev, Otabek and Ro‘zmetova, Zilola (2025) QANDLI DIABET KASALLIGI NAZORATI VA PROGNOZI UCHUN NEYRON TARMOQLAR ASOSIDA IOT MA’LUMOTLARINI INTELLEKTUAL QAYTA ISHLASH ALGORITMLARI. Techscience.uz - Texnika fanlarining dolzarb masalalari, 3 (7). pp. 10-15. ISSN 3030-3702

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Abstract

Qandli diabet tez tarqaluvchi surunkali kasallik bo‘lib, IoT sensorlar yordamida glyukoza, yurak urishi va boshqa fiziologik parametrlarni real vaqt rejimida monitoring qilish mumkin. Ushbu tadqiqotda CNN, RNN va LSTM modellarining samaradorligi solishtirilib, LSTM eng yuqori aniqlikni (92.1%) ko‘rsatdi. Takroriy yozuvlarni bartaraf etish model samaradorligini oshirdi.

Item Type: Article
Subjects: T Technology > T Technology (General)
Depositing User: Unnamed user with email info@ilmiykutubxona.uz
Date Deposited: 04 Oct 2025 11:55
Last Modified: 04 Oct 2025 11:55
URI: https://ilmiykutubxona.uz/id/eprint/1366

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