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Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model

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Published in:Advances in Meteorology
Format: Online Article RSS Article
Published: 2026
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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:24726
institution FRELIP
journal_source_facet Advances in Meteorology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
— — — — — — 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 Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
title_auth Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
title_full Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
title_fullStr Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
title_full_unstemmed Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
title_short Forecasting on PM10 in South Korea Using the CNN-BiGRU-LSTM Model
title_sort forecasting on pm10 in south korea using the cnn-bigru-lstm model
topic — — — — — — Meteorology
Climate & Atmospheric Sciences
Environmental Sciences
url https://www.hindawi.com/journals/amete/2026/6739605/