One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...
Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...
Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...
Nguyen (Jearlie), N. (2025) The Effects of Cashierless Technology on Amazon’s Stock Price. iBusiness, 17, 218-227. doi: ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
A research team has unveiled a non-destructive, highly accurate approach for determining the optimal timing of embryo rescue sampling.
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...
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