Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
Quantifying future Olympic sport selection: a data-driven framework for SDE evaluation and selection
The Olympic Games are the world’s foremost sporting event, with over 200 countries participating. As the Games evolve, sports, disciplines, and events (SDEs) are periodically added or removed. The ...
Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...
FAYETTEVILLE, Ark. — Arkansas women's coach Mike Neighbors' dream job lasted eight seasons. On Monday, he stepped down, per a press release from the school. “As I shared in my introductory press ...
Impact Statement: Pair-wise constraint-based methods constitute a commonly utilized optimization framework for tuning the parameters within neural networks. However, due to the unscalable embedding ...
ABSTRACT: Spares management is of great significance as it not only regulates the flow of the inventory but also impacts the financial status of the company’s balance sheet. All organizations ...
The authors present a critique of current usage of principal component analysis in geometric morphometrics, making a compelling case with benchmark data that standard techniques perform poorly. The ...
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