Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance the accuracy of the prediction of progression to death in DCD donors and ...

This repository is a curated collection of algorithms, data structures, and utilities implemented in modern C# for educational and reference purposes. The solution targets .NET 8 and includes ...

A sophisticated logo extraction and clustering system that does not use traditional ML algorithms like DBSCAN or k-means. Instead, it uses perceptual hashing and graph-based clustering for robust logo ...