Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia

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dc.contributor.authorYong Jie Wong
dc.contributor.authorYoshihisa Shimizu
dc.contributor.authorAkinori Kamiya
dc.contributor.authorLuksanaree Maneechot
dc.contributor.authorKhagendra Pralhad Bharambe
dc.contributor.authorChng Saun Fong
dc.contributor.authorNik Meriam Nik Sulaiman
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T07:04:49Z
dc.date.available2024-05-20T07:04:49Z
dc.date.issued2021
dc.description.abstractDue to its tropical climate, the impact of seasonal monsoons on river quality is significant, with the increased occurrence of extreme precipitation events; however, there has been little discussion on the application of artificial intelligence models for monsoonal river classification. In light of these, this study had applied artificial neural network (ANN) and support vector machine (SVM) models for monsoonal (dry and wet seasons) river classification using three of the water quality parameters to minimise the cost of river monitoring and associated errors in WQI computation.
dc.identifier.citationWong, Y. J., Shimizu, Y., Kamiya, A., Maneechot, L., Bharambe, K. P., Fong, C. S., & Nik Sulaiman, N. M. (2021). Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia. Environmental Monitoring and assessment, 193(7), 438.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1584
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeEnvironmental Monitoring and Assessment
dc.subjectRiver classifcation
dc.subjectSeasonal monsoon
dc.subjectArtifcial neural network
dc.subjectSupport vector machine
dc.subjectWater quality index
dc.titleApplication of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia
dc.typeJournal

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