Water quality management using hybrid machine learning and data mining algorithms: An indexing approach

One of the key functions of global water resource management authorities is river water quality (WQ) COD assessment. A water quality index (WQI) is developed for water assessments considering numerous quality-related variables. WQI assessments typically take a long time and are prone to errors durin...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 10; p. 1
Main Authors:	Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah, Imran, Muhammad
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial neural networks Classification algorithms Correlation coefficients cross-validation techniques Data mining Decision trees Error reduction hybrid data-mining algorithms Machine learning Machine learning algorithms North Pakistan Permutations Prediction algorithms Prediction models Quality assessment Quality management Random forests Rivers Water pollution Water quality Water quality index Water resources management Water sampling
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!