Application of deep learning techniques for analysis and prediction of particulate matter at Kota city, India

Application of deep learning techniques for analysis and prediction of particulate matter at Kota city, India

Air pollution significantly threatens human health and the environment, making accurate prediction of pollutant concentrations crucial for effective mitigation. This study leverages deep learning models, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, to predict c...

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Bibliographic Details
Main Authors: Lovish Sharma, Hajari Singh, Mahendra Pratap Choudhary
Format: Article
Language:English
Published: University of Bologna 2024-12-01
Series:EQA
Subjects:
air pollution
machine learning
pm10
pm2.5
lstm
gru
Online Access:https://eqa.unibo.it/article/view/20687
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