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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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