K. Sivaramakrishnan

Predictive modeling of thermogravimetric analysis data of medium-density fibreboard waste: a machine learning approach

Abstract This study investigates the application of machine learning (ML) techniques to predict thermogravimetric analysis (TGA) mass-loss data of medium-density fibreboard (MDF) waste under oxidative and pyrolytic conditions. Thermal decomposition provides a potential alternativ...