Machine learning methods for better water quality prediction
In any aquatic system analysis, the modelling water quality parameters are of considerable significance. The traditional modelling methodologies are dependent on datasets that involve large amount of unknown or unspecified input data and generally consist of time-consuming processes. The implementat...
Saved in:
Main Authors: | Najah Ahmed, A., Binti Othman, F., Abdulmohsin Afan, H., Khaleel Ibrahim, R., Ming Fai, C., Shabbir Hossain, M., Ehteram, M., Elshafie, A. |
---|---|
Format: | Article |
Language: | English |
Published: |
2020
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning methods for better water quality prediction
by: Najah Ahmed A., et al.
Published: (2023) -
Machine learning methods for better water quality prediction
by: Ahmed, Ali Najah, et al.
Published: (2019) -
Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios
by: Abobakr Yahya, Abobakr Saeed, et al.
Published: (2019) -
Water quality prediction model based support vector machine model for ungauged river catchment under dual scenarios
by: Yahya, A.S.A., et al.
Published: (2020) -
Water quality prediction model based support vector machine model for ungauged river catchment under dual scenarios
by: Yahya A.S.A., et al.
Published: (2023)