Both are directly relatable to the geometry of the parts. Through examples, we demonstrate that these functional requirements can be captured in a specific form of tolerances designated as virtual ...

This line of inquiry is crucial for understanding the algebraic and geometric properties of surfaces and their automorphisms. Finally, the exploration of boundaries in geometric group theory has ...

Firstly, through a fully convolutional neural network, the input point cloud is point-wisely segmented into multiple classes divided by jointly detected instance boundaries without any geometric ...

In this paper, firstly, we propose a Boundary Prediction Module (BPM) to predict boundary points. Based on the predicted boundary, a boundary-aware Geometric Encoding Module (GEM) is designed to ...

This methodology is completely free of geometric constraints and has significant potential to answer many of the open questions in transition analysis. The article presents examples of I/O analysis ...