Vol. 3 No. 5 (2025), Articles
Vol. 3 No. 5 (2025)

СВЕРТОЧНЫЕ НЕЙРОННЫЕ СЕТИ ДЛЯ ДИСТАНЦИОННОГО МОНИТОРИНГА ВОДНЫХ РЕСУРСОВ И ЭКОСИСТЕМ ПРИАРАЛЬЯ

Articles
Published 2025-05-12
R.T. Gaipnazarov
Tashkent University of Applied Sciences, Department of “Computer Engineering” Teacher
Sh.O‘. Azimov
Tashkent University of Applied Sciences, Department of “Computer Engineering” Assistant 2
A.A. Choriyev
Tashkent University of Applied Sciences, Department of “Computer Engineering” Assistant
M.Y. Mamatqulov
Tashkent University of Applied Sciences, Department of “Computer Engineering” Assistant
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Keywords

дистанционное зондирование Земли; глубокое обучение; сверточные нейронные сети; водные ресурсы; Приаралье; спутниковые данные; экология Центральной Азии

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СВЕРТОЧНЫЕ НЕЙРОННЫЕ СЕТИ ДЛЯ ДИСТАНЦИОННОГО МОНИТОРИНГА ВОДНЫХ РЕСУРСОВ И ЭКОСИСТЕМ ПРИАРАЛЬЯ. (2025). MEDICINE, PEDAGOGY AND TECHNOLOGY: THEORY AND PRACTICE, 3(5), 131-144. https://universalpublishings.com/~niverta1/index.php/mpttp/article/view/11730
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Abstract

Истощение водных ресурсов Приаралья вследствие усыхания Аральского моря представляет собой одну из наиболее острых экологических проблем Центральной Азии. В условиях климатических изменений и сокращения водного стока эффективный мониторинг водных объектов становится жизненно важным для устойчивого развития региона. 

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References

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