Predicting Kereh River's Water Quality: A comparative study of machine learning models
This study introduces a machine learning-based approach to forecast the water quality of the Kereh River and categorize it into 'polluted' or 'slightly polluted' classifications. This work employed three machine learning algorithms: decision tree, random forests (RF), and boosted...
الحاوية / القاعدة: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
---|---|
المؤلفون الرئيسيون: | Nasaruddin, Norashikin; Ahmad, Afida; Zakaria, Shahida Farhan; Ul-Saufie, Ahmad Zia; Osman, Mohamed Syazwan |
التنسيق: | Proceedings Paper |
اللغة: | English |
منشور في: |
E-IPH LTD UK
2023
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001149905200028 |
مواد مشابهة
-
Predicting Kereh River's Water Quality: A comparative study of machine learning models
بواسطة: Nasaruddin, وآخرون
منشور في: (2023) -
Unravelling anthropogenic sources in Kereh River, Malaysia: Analysis of decadal spatial-temporal evolutions by employing multivariate techniques
بواسطة: Khairudin K.; Abu Bakar N.F.; Ul-Saufie A.Z.; Abd Wahid M.Z.A.; Yahaya M.A.; Mazlan M.F.; Pin Y.S.; Osman M.S.
منشور في: (2022) -
Comparative Water Quality Analysis between Tahan River and Sat River in Taman Negara Pahang, Malaysia
بواسطة: Hum N.N.M.F.; Buyong F.; Chay T.C.
منشور في: (2022) -
PREDICTION OF WATER QUALITY FOR THE SELANGOR RIVERS USING DATA MINING APPROACH
بواسطة: Ibrahim N.; Rahman H.A.A.; Azran A.A.; Faddillah M.A.M.; Qamarudin M.A.Q.M.
منشور في: (2023) -
ENHANCING ECOSYSTEM BIODIVERSITY THROUGH AIR POLLUTION CONCENTRATIONS PREDICTION USING SUPPORT VECTOR REGRESSION APPROACHES
بواسطة: Solehah, وآخرون
منشور في: (2023)