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    Improved Method for Sustainable Soil and Water Quality Prediction Using a CNN-LSTM Hybrid Model and Particle Swarm Optimization

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006::page 04025044-1
    Author:
    Meshram, Kundan
    ,
    Chatrabhuj, null
    ,
    Singh, Vijay P.
    ,
    Mishra, Umank
    ,
    Rathnayake, Upaka
    DOI: 10.1061/JHYEFF.HEENG-6566
    Publisher: American Society of Civil Engineers
    Abstract: AbstractFundamental 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. ...
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      Improved Method for Sustainable Soil and Water Quality Prediction Using a CNN-LSTM Hybrid Model and Particle Swarm Optimization

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311704
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    • Journal of Hydrologic Engineering

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    contributor authorMeshram, Kundan
    contributor authorChatrabhuj, null
    contributor authorSingh, Vijay P.
    contributor authorMishra, Umank
    contributor authorRathnayake, Upaka
    date accessioned2026-08-20T11:06:36Z
    date available2026-08-20T11:06:36Z
    date copyright2025/10/15
    date issued2025
    identifier otherJHYEFF.HEENG-6566.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311704
    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. ...
    publisherAmerican Society of Civil Engineers
    titleImproved Method for Sustainable Soil and Water Quality Prediction Using a CNN-LSTM Hybrid Model and Particle Swarm Optimization
    typeJournal Article
    journal volume30
    journal issue6
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6566
    journal fristpage04025044-1
    journal lastpage04025044-18
    page18
    treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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