Tag Gon Kim

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities

Data modeling versus simulation modeling in the big data era: case study of a greenhouse control system

Fast learning method for back-propagation neural network by evolutionary adaptation of learning rates