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...
| 出版年: | Discover Artificial Intelligence |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Springer Nature
2024
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208652136&doi=10.1007%2fs44163-024-00184-7&partnerID=40&md5=0c2e4841fc8921c1ef151e3ff25c5b6c |