DEVELOPING ARTIFICIAL INTELLIGENCE MODELS AND ALGORITHMS FOR ENVIRONMENTAL MONITORING AND FORECASTING

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Muhammadiyeva Dildora Kabulovna Pirimqulova Zilola Avaz qizi

Abstract

Environmental monitoring and forecasting are crucial for understanding and
mitigating the impacts of climate change and other environmental challenges. This
research focuses on developing artificial intelligence (AI) models and algorithms for
enhancing environmental monitoring and forecasting capabilities. By leveraging the
power of machine learning and deep learning techniques, we aim to create robust
and accurate predictive models capable of analyzing complex environmental data
and identifying trends, patterns, and anomalies

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