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dc.contributor.authorMeshram, Kundan
dc.contributor.authorChatrabhuj, null
dc.contributor.authorSingh, Vijay P.
dc.contributor.authorMishra, Umank
dc.contributor.authorRathnayake, Upaka
dc.date.accessioned2026-08-20T11:06:36Z
dc.date.available2026-08-20T11:06:36Z
dc.date.copyright2025/10/15
dc.date.issued2025
dc.identifier.otherJHYEFF.HEENG-6566.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311704
dc.description.abstractAbstractFundamental to sustainable development is the management of soil and water resources, particularly in the most vulnerable regions, such as deltas. This calls for the development of models that can handle complex spatial and temporal data samples. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleImproved Method for Sustainable Soil and Water Quality Prediction Using a CNN-LSTM Hybrid Model and Particle Swarm Optimization
dc.typeJournal Article
dc.journal.volume30
dc.journal.issue6
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/JHYEFF.HEENG-6566
dc.journal.fristpage04025044-1
dc.journal.lastpage04025044-18
dc.page18
dc.treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006
dc.contenttypeFulltext


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