Development of a Hybrid Attention Transformer for Daily PM<sub>2.5</sub> Predictions in Seoul

Development of a Hybrid Attention Transformer for Daily PM<sub>2.5</sub> Predictions in Seoul

A hybrid attention transformer (HAT) was developed for accurate daily PM<sub>2.5</sub> predictions in Seoul. The performance of the HAT was evaluated through a comparative analysis of its predictions against ground-based observations and those from a three-dimensional chemical transport...

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Bibliographic Details
Main Authors:	Hyun S. Kim, Kyung M. Han, Jinhyeok Yu, Nara Youn, Taehoo Choi
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Atmosphere
Subjects:	artificial neural network hybrid attention transformer daily PM<sub>2.5</sub> prediction
Online Access:	https://www.mdpi.com/2073-4433/16/1/37
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