Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

In modern hospitals, information has never been more abundant — yet for years, it has also been strangely out of reach. A patient could undergo imaging in one department, lab work in another and ...

Abstract: This study introduces a sophisticated supervised machine learning method for electric theft detection utilizing a customized histogram gradient boosting (HGB) algorithm. Comprehensive ...

These notes can be used to find top patterns for each category. Note that reading these notes can be much faster than watching videos. Moreover, it can take only take an evening to refresh your ...

Bloom patterns could be useful, as engineers build folding structures to send to outer space. They’re also very pretty. Researchers have now found a new class of origami that they call bloom patterns, ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Results: Out of 8,452,630 total sleep logs collected over a median of 4.2 years of Fitbit monitoring, 401,777 (4.75%) nonprimary sleep logs identified by the default algorithm were reclassified as ...

The Fréchet distance is a widely used measure in computational geometry for quantifying the similarity between curves. Unlike simpler metrics, it takes into account the location and ordering of points ...

Abstract: Pattern mining, one of the data analysis approaches, provides meaningful assistance for various business services, such as product recommendation and marketing. However, certain real-world ...