SUV HAVZALARIDA CHO‘KISH XAVFINI ANIQLASH VA QUTQARUV ISHLARINI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISHNING NAZARIY ASOSLARI
Vol. 4 No. 10 (2026), Articles
Vol. 4 No. 10 (2026)

SUV HAVZALARIDA CHO‘KISH XAVFINI ANIQLASH VA QUTQARUV ISHLARINI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISHNING NAZARIY ASOSLARI

Articles
Published 2026-10-26
Zoyir Xurramov Begmurod o‘g‘li
Favqulodda vaziyatlar vazirligi Akademiyasi magistranti
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Keywords

sun’iy intellekt, suv havzasi, cho‘kish xavfi, kompyuter ko‘rishi, mashinaviy o‘qitish, videokuzatuv, erta ogohlantirish, qutqaruv ishlari, xavfni aniqlash, raqamli texnologiyalar.

How to Cite

Xurramov Begmurod o‘g‘li, Z. (2026). SUV HAVZALARIDA CHO‘KISH XAVFINI ANIQLASH VA QUTQARUV ISHLARINI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISHNING NAZARIY ASOSLARI. JOURNAL OF SCIENCE-INNOVATIVE RESEARCH IN UZBEKISTAN, 4(10), 105–115. Retrieved from https://scienceinno.org/index.php/jsiru/article/view/318
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Abstract

Maqolada suv havzalarida cho‘kish xavfini aniqlash va qutqaruv ishlarini tashkil etishda sun’iy intellekt texnologiyalaridan foydalanishning nazariy asoslari tahlil qilinadi. Kompyuter ko‘rishi, mashinaviy o‘qitish, avtomatlashtirilgan monitoring va erta ogohlantirish tizimlarini takomillashtirish imkoniyatlari asoslanadi.

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References

1. World Health Organization. Global Status Report on Drowning Prevention 2024. Revised Edition. Geneva: World Health Organization, 2025.

WHO hisobotining to‘liq matni (PDF).

2. Shatnawi, M., Albreiki, F., Alkhoori, A., Alhebshi, M. Deep Learning and Vision-Based Early Drowning Detection. Information, 2023, 14(1), Article 52.

3. Pool Drowning Prevention Strategy Integrating AI and IoT Technologies. Heliyon, 2024, 10(18), Article e35484. Elsevier.

DOI: https://doi.org/10.1016/j.heliyon.2024.e35484.

4. Shatnawi, M., Albreiki, F., Alkhoori, A., Alhebshi, M., Shatnawi, A. Advances and Challenges in Automated Drowning Detection and Prevention Systems. Information, 2024, 15(11), Article 721. MDPI.

DOI: https://doi.org/10.3390/info15110721.