Effective Diffusivity data for Ultrasonic assisted polyphenol extraction from Sugarcane Bagasse

In this study, a predictive model based GPR will be developed and evaluated on the basis of its ability to accurately estimate the influence of six physical parameters on effective diffusivity.本研究将构建基于高斯过程回归（Gaussian Process Regression, GPR）的预测模型，并基于该模型准确估算六项物理参数对有效扩散系数影响的能力对其进行评估。