Tool wear prediction is essential to ensure machining quality and sustainability. Hybrid physics-data Gaussian process regression (GPR) methods integrate domain knowledge with data-driven learning, ...

It should be noted, however, that an inherent assumption while using this density based registration approach is that both the point sets have similar sampling rates, and the registration results ...