Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
High loads of suspended sediments in rivers are known to cause detrimental effects to potable water sources, river water quality, irrigation activities, and dam or reservoir operations. For this reason, the study of suspended sediment load (SSL) prediction is important for monitoring and damage miti...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Nature Research
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/33491/ |
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