PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration

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PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration

The atmosphere’s fine articulate Matter (PM2.5) poses various health-related risks. Even though multiple efforts have been made to lower the emissions of these substances, the mortality rate is continuously increasing, requiring immediate inclination of the scientific community towards the design an...

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Bibliographic Details
Published in:	Discover Artificial Intelligence
Main Author:	Inam S.A.; Khan A.A.; Mazhar T.; Ahmed N.; Shahzad T.; Khan M.A.; Saeed M.M.; Hamam H.
Format:	Article
Language:	English
Published:	Springer Nature 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208652136&doi=10.1007%2fs44163-024-00184-7&partnerID=40&md5=0c2e4841fc8921c1ef151e3ff25c5b6c

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