An interpretable physics-informed deep learning model for estimating multiple air pollutants

Research article (GIScience & Remote Sensing, 2025) · cited 13× · AI/ML
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An interpretable physics-informed deep learning model for estimating multiple air pollutants

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An interpretable physics-informed deep learning model for estimating multiple air pollutants is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable physics-informed deep learning model for estimating multiple air pollutants. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-physics-informed-deep-learning-model-for-estimating-multiple-air-pollutants
MLA “An interpretable physics-informed deep learning model for estimating multiple air pollutants.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-physics-informed-deep-learning-model-for-estimating-multiple-air-pollutants.
BibTeX @misc{4ortxyz_an-interpretable-physics-informed-deep-learning-model-for-estimating-multiple-air-pollutants_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable physics-informed deep learning model for estimating multiple air pollutants}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-physics-informed-deep-learning-model-for-estimating-multiple-air-pollutants}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable physics-informed deep learning model for estimating multiple air pollutants — https://4ort.xyz/entity/an-interpretable-physics-informed-deep-learning-model-for-estimating-multiple-air-pollutants (retrieved 2026-05-24)

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