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    Sustainable Valorization of Biomedical Waste: Predictive Modeling of Thermochemical Product Distribution Using Hybrid Machine-Learning Models

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2026:;Volume ( 030 ):;issue: 003::page 04026020-1
    Author:
    Naveen, Subbaiyan
    ,
    Kumar, Madesh
    ,
    Sekar, Aruna Jayalakshmi
    ,
    Arun, Jayaseelan
    ,
    Gopirajan, Punniyakotti Varadharajan
    ,
    Palaniappan, Sathish Kumar
    ,
    Siengchin, Suchart
    DOI: 10.1061/JHTRBP.HZENG-1643
    Publisher: American Society of Civil Engineers
    Abstract: Abstract This research concentrates on modeling product distributions in the thermochemical process of biomedical waste processing using a hybrid machine learning model (ensemble of XGBoost and LightGBM). This study focuses on accurately predicting and ...
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      Sustainable Valorization of Biomedical Waste: Predictive Modeling of Thermochemical Product Distribution Using Hybrid Machine-Learning Models

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311656
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    • Journal of Hazardous, Toxic, and Radioactive Waste

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    contributor authorNaveen, Subbaiyan
    contributor authorKumar, Madesh
    contributor authorSekar, Aruna Jayalakshmi
    contributor authorArun, Jayaseelan
    contributor authorGopirajan, Punniyakotti Varadharajan
    contributor authorPalaniappan, Sathish Kumar
    contributor authorSiengchin, Suchart
    date accessioned2026-08-20T11:04:26Z
    date available2026-08-20T11:04:26Z
    date copyright2026/05/11
    date issued2026
    identifier otherJHTRBP.HZENG-1643.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311656
    description abstractAbstract This research concentrates on modeling product distributions in the thermochemical process of biomedical waste processing using a hybrid machine learning model (ensemble of XGBoost and LightGBM). This study focuses on accurately predicting and ...
    publisherAmerican Society of Civil Engineers
    titleSustainable Valorization of Biomedical Waste: Predictive Modeling of Thermochemical Product Distribution Using Hybrid Machine-Learning Models
    typeJournal Article
    journal volume30
    journal issue3
    journal titleJournal of Hazardous, Toxic, and Radioactive Waste
    identifier doi10.1061/JHTRBP.HZENG-1643
    journal fristpage04026020-1
    journal lastpage04026020-11
    page11
    treeJournal of Hazardous, Toxic, and Radioactive Waste:;2026:;Volume ( 030 ):;issue: 003
    contenttypeFulltext
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