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...

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Vydané v:	IEEE access Ročník 10; s. 1
Hlavní autori:	Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah, Imran, Muhammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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