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...
| الحاوية / القاعدة: | Discover Artificial Intelligence |
|---|---|
| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Springer Nature
2024
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208652136&doi=10.1007%2fs44163-024-00184-7&partnerID=40&md5=0c2e4841fc8921c1ef151e3ff25c5b6c |