Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models

Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models

Understanding the causal mechanisms underlying PM2.5 generation is critical for developing effective prevention strategies, necessitating an approach that goes beyond prediction and seeks deeper causal explanations to support decision-making. This study addresses these concerns through a novel causa...

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Bibliographic Details
Main Authors: Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Informatics
Subjects:
Explainable artificial intelligence
Causal machine learning
Structural equation model
Causal discovery
Fine particle
Meteorological factor
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001244
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