The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Abstract: The ability to accurately predict the house price is fundamental within the real estate sector as it provides useful information to potential buyers, sellers, investors, and policymakers.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...

The average new-car buyer paid $50,080 in September, according to Kelley Blue Book (KBB), a new record and the first time this amount has topped $50,000. Prices keep rising, but that doesn’t apply to ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

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, ...

This project explores confidence levels in cryptocurrency predictions using Ridge Regression, a regularized linear modeling approach that addresses multicollinearity among features. By analyzing ...