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

dc.contributor.author	Naveen, Subbaiyan
dc.contributor.author	Kumar, Madesh
dc.contributor.author	Sekar, Aruna Jayalakshmi
dc.contributor.author	Arun, Jayaseelan
dc.contributor.author	Gopirajan, Punniyakotti Varadharajan
dc.contributor.author	Palaniappan, Sathish Kumar
dc.contributor.author	Siengchin, Suchart
dc.date.accessioned	2026-08-20T11:04:26Z
dc.date.available	2026-08-20T11:04:26Z
dc.date.copyright	2026/05/11
dc.date.issued	2026
dc.identifier.other	JHTRBP.HZENG-1643.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311656
dc.description.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 ...
dc.publisher	American Society of Civil Engineers
dc.title	Sustainable Valorization of Biomedical Waste: Predictive Modeling of Thermochemical Product Distribution Using Hybrid Machine-Learning Models
dc.type	Journal Article
dc.journal.volume	30
dc.journal.issue	3
dc.journal.title	Journal of Hazardous, Toxic, and Radioactive Waste
dc.identifier.doi	10.1061/JHTRBP.HZENG-1643
dc.journal.fristpage	04026020-1
dc.journal.lastpage	04026020-11
dc.page	11
dc.tree	Journal of Hazardous, Toxic, and Radioactive Waste:;2026:;Volume ( 030 ):;issue: 003
dc.contenttype	Fulltext