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...
| Published in: | Discover Artificial Intelligence |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024
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| 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 |