Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

PROCESS IMPROVEMENT TOOLS AND METHODS AI holds transformative potential across Army operations—from logistics and maintenance ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Waditwar, P. (2025) Leading through the Synthetic Media Era: Platform Governance to Curb AI-Generated Fake News, Protect the ...

Good vision is essential for enjoying independence and, of course, the joys of life. However, more than 2.2 billion people are unable to do so due to having a vision impairment, which happens due to ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

Over the last three decades, the evidence on how to best treat the cognitive and non-cognitive symptoms of patients with ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...