Contributing towards Representative PM Data Coverage by Utilizing Artificial Neural Networks

Contributing towards Representative PM Data Coverage by Utilizing Artificial Neural Networks

Atmospheric aerosol particles have a significant impact on both the climatic conditions and human health, especially in densely populated urban areas, where the particle concentrations in several cases can be extremely threatening (increased anthropogenic emissions). Most large cities located in hig...

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Bibliographic Details
Main Authors:	Chris G. Tzanis, Anastasios Alimissis
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	Applied Sciences
Subjects:	artificial neural networks feed-forward networks spatiotemporal predictions particulate matter climatic parameters machine learning
Online Access:	https://www.mdpi.com/2076-3417/11/18/8431

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