Robust 'Huber mean' for geometric data protects against noise and outliers

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
AZoM on MSN

Fast Forecasting Algorithm for Karl Fischer Titration

The standard chemical reaction is given by the following equation: 2 ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
IEEE

Color Analysis and Application of Mongolian Traditional Costumes Based on K-means Clustering Algorithm

Objective: Aiming at the current deficiencies in color selection in Mongolian-related designs, this study aims to analyze the color characteristics of Mongolian costumes in a visual way, so as to ...