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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Bibliografski detalji

Glavni autori:	Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-07-01
Serija:	Ecological Informatics
Teme:	Explainable artificial intelligence Causal machine learning Structural equation model Causal discovery Fine particle Meteorological factor
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1574954125001244
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