Mapping air pollution at high spatial resolution is essential for understanding, managing, and mitigating the adverse impacts of air pollution. Current air pollution monitoring approaches suffer from ...

Biomechanical simulations can enhance our understanding of spinal disorders. Applied to large cohorts, they can reveal complex mechanisms beyond conventional imaging. Therefore, automating the patient ...

This is a derivative version based on the SuGaR code repository, primarily addressing the issues of running the original code on Windows platforms. For any learning materials or inquiries regarding ...

What if instead of defining a mesh as a series of vertices and edges in a 3D space, you could describe it as a single function? The easiest function would return the signed distance to the closest ...

This repository is code release for HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies. Recent advances in neural implicit representation have set a new state of the ...

Our current work builds upon the idea that persistent homology can be used to detect objects in images 5. However, many real-world images contain outliers, as well as irrelevant objects, which ...

Today we will learn about a very interesting topic in Machine Learning i.e. KNN algorithm. It is a very simple and fundamental place to start in machine learning. The logic behind this algorithm is ...

The history of Linear Regression started in 1800 with a guy named Francis Galton when he was studying the relationships between the heights of fathers and their sons. The general perception was that a ...

Abstract: We present an algorithm, called Healed Marching Cubes (HMC), which is capable of triangulating non-manifold implicit surfaces with the help of healing techniques based on differential ...

Surface visualizations of fMRI provide a comprehensive view of cortical activity. However, surface visualizations are difficult to generate and most common visualization techniques rely on unnecessary ...