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BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer.

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Title: BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer.
Authors: Verma, Abhishek1 (AUTHOR) abhishekcms08@gmail.com, Ranga, Virender1 (AUTHOR) virenderranga@dtu.ac.in, Vishwakarma, Dinesh Kumar1 (AUTHOR)
Source: Environmental Monitoring & Assessment. Apr2024, Vol. 196 Issue 4, p1-22. 22p.
Database: Environment Complete
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PubType: Academic Journal
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        Value: 10.1007/s10661-024-12455-y
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        Text: English
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      – TitleFull: BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer.
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            NameFull: Verma, Abhishek
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            NameFull: Ranga, Virender
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              Text: Apr2024
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              Y: 2024
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              Value: 196
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