This article presents a contextual outlier detection technique employing machine learning (ML) method to improve the quality of experimentally obtained data from heavy-ion irradiation campaigns.

Outliers are observations that deviate significantly from the general pattern of the data. They can have a large impact on the estimation and interpretation of regression coefficients in linear ...

Greedy pursuit, which includes matching pursuit (MP) and orthogonal matching pursuit (OMP), is an efficient approach for sparse approximation. However, conventional greedy pursuit algorithms designed ...

We have the 9-letter answer for Outliers in the data crossword clue, last seen in the NYT Crossword June 9, 2025 puzzle. This answer will help you finish the puzzle you’re working on. Outliers in the ...

Follow live coverage of the French Open men’s final between Jannik Sinner and Carlos Alcaraz today ROLAND GARROS, PARIS — Every tennis player confronts a conundrum each spring, when the pro ...

Healthcare performance measurement is a complex undertaking, often presenting a number of potential alternative approaches and methodological nuances. Important considerations include richness and ...