"Feature extraction and prediction of fine particulate matter ..."

Young Su Lee et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2023.119696

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/LeeCPJPNKYK23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/LeeCPJPNKYK23
Young Su Lee, Eunhwa Choi, Minjae Park, Hyeri Jo, Manho Park, Eunjung Nam, Dai Gon Kim, Seung-Muk Yi, Jae Young Kim:
Feature extraction and prediction of fine particulate matter (PM_2.5) chemical constituents using four machine learning models. Expert Syst. Appl. 221: 119696 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.