Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution.

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution.

Air pollution constitutes a significant worldwide environmental challenge, presenting threats to both our well-being and the purity of our food supply. This study suggests employing Recurrent Neural Network (RNN) models featuring Long Short-Term Memory (LSTM) units for forecasting PM10 particle leve...

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Bibliographic Details
Main Authors: Martin Kostadinov, Eftim Zdravevski, Petre Lameski, Paulo Jorge Coelho, Biljana Stojkoska, Michael A Herzog, Vladimir Trajkovik
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0313356
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