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Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change

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Bibliographic Details
Published in:Advances in Meteorology
Format: Online Article RSS Article
Published: 2025
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container_title Advances in Meteorology
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:24742
institution FRELIP
journal_source_facet Advances in Meteorology
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
— — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
sub_discipline_display Climate & Atmospheric Sciences
sub_discipline_facet Climate & Atmospheric Sciences
subject_display — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
— — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
subject_facet — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
title Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
title_auth Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
title_full Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
title_fullStr Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
title_full_unstemmed Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
title_short Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
title_sort leveraging innovative hybrid machine learning models to predict drought and optimize water resources based on climate change
topic — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
url https://www.hindawi.com/journals/amete/2025/2278201/