An ensemble-driven machine learning framework for enhanced water quality classification

An ensemble-driven machine learning framework for enhanced water quality classification

Abstract Water quality is a critical factor in ensuring public health and environmental sustainability. Water quality assessment methods, especially concerning their efficiency and accuracy, have become more important with the overwhelming demands on the application of artificial intelligence (AI) a...

Full description

Saved in:
Bibliographic Details
Main Authors: Preet Singh, Taniya Hasija, Salil Bharany, Hafiza Nazra Tun Naeem, B. Chinna Rao, Seada Hussen, Ateeq Ur Rehman
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Sustainability
Subjects:
Water quality classification
Environmental sustainability
Artificial intelligence
Classification techniques
Voting ensemble learning techniques
Online Access:https://doi.org/10.1007/s43621-025-01467-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s43621-025-01467-4

Similar Items