Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

1 Clinical Laboratory, Dongyang People’s Hospital, Dongyang, Zhejiang, China 2 Clinical Laboratory, The Second People’s Hospital of Yuhuan City, Yuhuan, Zhejiang, China Introduction: In this study, we ...

Background: Arthritis is the most disabling disease worldwide, and the presence of the disease usually greatly threatens the patient’s activities of daily living (ADL). Currently, there are a few ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

The following is a summary of “Lasso-derived model for early prediction of systemic sclerosis based on vasculopathy assessment: a population-based cohort study,” published in the March 2025 issue of ...

A collection of academic projects from my time at the University of Algiers 1, covering social network analysis, data visualization, formal languages, binary logistic regression, and statistical ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...