Bioresource technologyMachine LearningGreenhouse GasesCompostingSolid WasteCarbon Dioxide
Multi-model machine learning framework for prediction of greenhouse gas emissions during composting of organic solid waste.
Jing He, Jing Tang, Zhonghao He, Qiqi Fu, Yi Li, Ci Song, Wei Huang, Jiajia Wang, Jiangfang Yu, Lin Tang
Published: 202610.1016/j.biortech.2025.133901
Abstract
Accurate prediction and regulation of greenhouse gas (GHG) emissions during composting are essential for mitigating global warming. Herein, two multi-model machine learning frameworks were developed based on Gradient Boosting Regression, Extreme Grad…
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