Ying Ying Tye

Small Sample Machine Learning for Predicting Composition Changes in Chemically Pretreated Kapok Fiber

Abstract Kapok is a lightweight hollow tropical fiber with potential as a renewable feedstock, but its waxy surface and lignin-containing matrix complicate aqueous processing. This study evaluated whether limited-data machine learning could predict kapok fiber composition after a...

Adaptive Low-Carbon Bioethanol Energy Management through Knowledge Graph–Digital Twin Frameworks

Abstract Lignocellulosic bioethanol can reduce dependence on fossil liquid fuels, but its low-carbon performance is strongly constrained by process-energy demand. Energy use is shaped by coupled variations in feedstock quality, pretreatment response, fermentation performance, sep...