Efficient Data-Driven Machine Learning Models for Water Quality Prediction

Efficient Data-Driven Machine Learning Models for Water Quality Prediction

Water is a valuable, necessary and unfortunately rare commodity in both developing and developed countries all over the world. It is undoubtedly the most important natural resource on the planet and constitutes an essential nutrient for human health. Geo-environmental pollution can be caused by many...

Full description

Bibliographic Details
Main Authors: Elias Dritsas, Maria Trigka
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Computation
Subjects:
water quality
sustainability
environmental impact
data analysis
machine learning
classification
Online Access:https://www.mdpi.com/2079-3197/11/2/16

Internet

https://www.mdpi.com/2079-3197/11/2/16

Similar Items