Topological Attention-Based Convolution Neural Networks in Analyzing and Predicting Particulate Matter Pollution Level

Topological Attention-Based Convolution Neural Networks in Analyzing and Predicting Particulate Matter Pollution Level

Abstract Background Southeast Asia regularly experiences severe haze events driven by transboundary pollution, significantly impacting public health. Accurate short-term forecasting of particulate matter concentrations, especially PM10, is crucial for timely interventions. Objective To improve the p...

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Bibliographic Details
Main Authors: Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin, R. U. Gobithaasan
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Aerosol and Air Quality Research
Subjects:
Haze
Topology data analysis
Convolution networks
Air pollution
Online Access:https://doi.org/10.1007/s44408-025-00027-9
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