Application of artificial neural network with fine–tuning parameters for forecasting PM2.5 in deep open–pit mines: A case study
Uloženo v:
Hlavní autoři: | Xuan, Nam Bui, Hoang, Nguyen, Qui, Thao Le, Tran, Quang Hieu |
---|---|
Médium: | Článek |
Jazyk: | Vietnamese |
Vydáno: |
2025
|
Témata: | |
On-line přístup: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/271131 |
Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
Podobné jednotky
-
Exploiting the results of running the GEOS-CF model to evaluate PM2.5 concentration in near real-time in Vietnam
Autor: Uyen, Khanh Le, a další
Vydáno: (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
Autor: Phong, Hoang Nguyen, a další
Vydáno: (2025) -
Development of a prototype system of the very short-range forecast of precipitation in Vietnam
Autor: Kazuo, Saito, a další
Vydáno: (2025) -
Forecasting the track and intensity Damrey storm in 2017 by the multi–physical ensemble Kalman filter
Autor: Minh, Thi Pham, a další
Vydáno: (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
Autor: Nguyen, Van Hong, a další
Vydáno: (2025)