Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India

Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India

Air quality is a critical aspect of environmental health, and its assessment and prediction serve as pivotal components in mitigating the adverse effects of air pollution. This study focuses on advancing air quality prediction in India through the application of cutting-edge deep learning techniques...

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Bibliographic Details
Main Authors: S Karkuzhali, Thendral Puyalnithi, R Nirmalan
Format: Article
Language:English
Published: Polish Academy of Sciences 2024-12-01
Series:Archives of Environmental Protection
Subjects:
air quality;
bi-long short-term memory;
convolutional neural network;
adam optimizer;
training process;
hybrid analysis;
pollution;
Online Access:https://journals.pan.pl/Content/133549/PDF/Archives50no4pp9_21.pdf
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https://journals.pan.pl/Content/133549/PDF/Archives50no4pp9_21.pdf

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