Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia
Missing streamflow data is a common issue in Peninsular Malaysia, as the technologies used in hydrological studies often fail to collect data accurately. Additionally, conventional methods are still widely used in the region, which are less accurate compared to artificial intelligence (AI) methods i...
الحاوية / القاعدة: | Water Practice and Technology |
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المؤلف الرئيسي: | Ng J.L.; Huang Y.F.; Chong A.H.; Ahmed A.N.; Syamsunurc D. |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
IWA Publishing
2024
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211481243&doi=10.2166%2fwpt.2024.265&partnerID=40&md5=bd2f334a415c93741f0c8a3e15ba9ee4 |
مواد مشابهة
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Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia (vol 19, pg 4338, 2024)
بواسطة: Ng, وآخرون
منشور في: (2025) -
Erratum: Water Practice and Technology, 19 (11): 4338–4354: Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia, Jing Lin Ng et al., https://dx.doi.org/10.2166/wpt.2024.265
بواسطة: Ng J.L.; Huang Y.F.; Chong A.H.; Ahmed A.N.; Syamsunur D.
منشور في: (2025) -
Assessing the Suitability of Probability Distribution Models for Streamflow Analysis in Peninsular Malaysia
بواسطة: Ng J.L.; Ahmad Kamal N.; Md Noh N.I.F.; Lee J.C.; Razman R.; Jaafar J.; Jada D.T.; Mirzaei M.
منشور في: (2024) -
Missing River Discharge Data Imputation Approach using Artificial Neural Network
بواسطة: 2-s2.0-85101170010
منشور في: (2015) -
Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
بواسطة: Yong S.L.S.; Ng J.L.; Huang Y.F.; Ang C.K.; Ahmad Kamal N.; Mirzaei M.; Najah Ahmed A.
منشور في: (2024)