Bibliographic Details
| Title: |
Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elements |
| Authors: |
Siwatt Pongpiachan, Qiyuan Wang, Ronbanchob Apiratikul, Danai Tipmanee, Li Li, Li Xing, Xingli Mao, Guohui Li, Yongming Han, Junji Cao, Vanisa Surapipith, Aekkapol Aekakkararungroj, Saran Poshyachinda |
| Source: |
PLoS ONE, Vol 19, Iss 3 (2024) |
| Publisher Information: |
Public Library of Science (PLoS), 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Medicine
LCC:Science |
| Subject Terms: |
Medicine, Science |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1932-6203 |
| Relation: |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954151/?tool=EBI; https://doaj.org/toc/1932-6203 |
| Access URL: |
https://doaj.org/article/8586d384ac9f4889a72b11cd6d781a49 |
| Accession Number: |
edsdoj.8586d384ac9f4889a72b11cd6d781a49 |
| Database: |
Directory of Open Access Journals |
