Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data

Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data

River water pollution has increased due to human activities. Initially, numerical and analytical methods were used to classify river water quality, but machine learning now enables faster and more accurate water quality index (WQI) classification. This study aimed to develop an effective ensemble mo...

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Bibliographic Details
Main Authors: Zaharaddeen Karami Lawal, Ali Aldrees, Hayati Yassin, Salisu Dan'azumi, Sujay Raghavendra Naganna, Sani I. Abba, Saad Sh. Sammen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
water quality modelling
pollution
machine learning
Online Access:https://ieeexplore.ieee.org/document/10757416/
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