PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

A new AI-based method reconstructs spatial information about where immune cells were originally located in an organ, even after these cells have been removed from the tissue and analyzed individually.

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue of relatives in a dataset causing inaccurate results was considered a major ...

Effective AML compliance requires accurately screening for sanctions, politically exposed persons (PEPs), and adverse media. Two algorithms: Jaro-Winkler and Levenshtein, often come up in discussions ...

Tech companies in the United States have insisted repeatedly that they need high-skilled foreign workers through the H-1B program, but the visa is coming under greater scrutiny as claims circulate ...

This study presents a valuable and simplified classification system for predicting clinical outcomes of RPLS patients. The data were collected and analyzed using solid and validated methodology and ...

Ukrainian authorities are warning of a new type of cluster bomb dropped on cities by Russian Shahed drones. Over the winter, the main target for the drones was electricity infrastructure, in a failed ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...