Predicting Water Quality Parameters in a Complex River System
This research applied a machine learning technique for predicting the water quality parameters of Kelantan River?using the historical data collected from various stations. Support Vector Machine (SVM) was used to develop the?prediction model. Six water quality parameters (dissolved oxygen (DO), bioc...
Saved in:
Main Authors: | Kurniawan I., Hayder G., Mustafa H.M. |
---|---|
Other Authors: | 56541431000 |
Format: | Article |
Published: |
Polish Society of Ecological Engineering (PTIE)
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Implementation of machine learning methods for monitoring and predicting water quality parameters
by: Hayder G., et al.
Published: (2023) -
Artificial Intelligence Techniques for Predicting Water Quality Parameters and Management in a Complex River System: A Review
by: Aljumaily H., et al.
Published: (2024) -
River Water Quality Prediction and Analysis�Deep Learning Predictive Models Approach
by: Rizal N.N.M., et al.
Published: (2024) -
Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review
by: Mustafa H.M., et al.
Published: (2023) -
Modelling of river flow using particle swarm optimized cascade-forward neural networks: A case study of kelantan river in malaysia
by: Hayder G., et al.
Published: (2023)