Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand

PM2.5 pollution poses a significant environmental and health concern across Southeast Asia, including Thailand. This study aims to forecast area-based PM2.5 concentrations in Hat Yai city, Songkhla province, using daily data collected from the Hat Yai monitoring station from 2013 to 2023. To achieve...

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Vydáno v:	Journal of big data Ročník 12; číslo 1; s. 36 - 24
Hlavní autoři:	Damkliang, Kasikrit, Chumnaul, Jularat
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.12.2025 Springer Nature B.V SpringerOpen
Témata:	Area-based PM2.5 forecasting Averages Big Data Big Data and Artificial Intelligence in Emerging Scientific Fields Classification Communications Engineering Computational Science and Engineering Computer Science ConvLSTM1D-BiLSTM Data Mining and Knowledge Discovery Database Management Deep learning Effectiveness Forecasting Information Storage and Retrieval Machine learning Mathematical Applications in Computer Science Mean Methodology Networks Pollution Robustness Sliding window configuration Southern Thailand Thailand Deep learning Sliding window configuration Statistical analysis Area-based PM2.5 forecasting Machine learning Southern Thailand Time-series analysis ConvLSTM1D-BiLSTM
ISSN:	2196-1115, 2196-1115
On-line přístup:	Získat plný text
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