Application of artificial neural network with fine–tuning parameters for forecasting PM2.5 in deep open–pit mines: A case study
Gardado en:
Những tác giả chính: | Xuan, Nam Bui, Hoang, Nguyen, Qui, Thao Le, Tran, Quang Hieu |
---|---|
Formato: | Artigo |
Idioma: | Vietnamese |
Publicado: |
2025
|
Những chủ đề: | |
Acceso en liña: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/271131 |
Các nhãn: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
Títulos similares
-
Exploiting the results of running the GEOS-CF model to evaluate PM2.5 concentration in near real-time in Vietnam
por: Uyen, Khanh Le, et al.
Publicado: (2025) -
Application of EnHEBIS tool to assess economic impact due to health effects from PM2.5 pollution – A case study at Long An province, Vietnam
por: Phong, Hoang Nguyen, et al.
Publicado: (2025) -
Development of a prototype system of the very short-range forecast of precipitation in Vietnam
por: Kazuo, Saito, et al.
Publicado: (2025) -
Forecasting the track and intensity Damrey storm in 2017 by the multi–physical ensemble Kalman filter
por: Minh, Thi Pham, et al.
Publicado: (2025) -
Trend and forecast the saline intrusion at estuaries in the coastal Mekong delta: A case study of the coastal sub–region between the Tien and Hau rivers
por: Nguyen, Van Hong, et al.
Publicado: (2025)