Abstract: Cyber-Physical Systems (CPS) refer to a new generation of intelligent systems with integrated computational performance and physical capabilities. However, with the expansion of system ...

An investigation has found that the sinking of a superyacht off the coast of Sicily was not caused by a storm as originally suspected, according to reports. The 56-metre (184ft) yacht, the Bayesian, ...

Abstract: Data-driven techniques such as principal component analysis (PCA) have been widely used to derive predictive models from historical data and applied for quality prediction in industry.

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...

What is a Gaussian Graphical Model ? A Gaussian graphical model captures conditional (in)dependencies among a set of variables. These are pairwise relations (partial correlations) controlling for the ...

While the performance of current AI systems may seem impressive, there's a long way to go before we're likely to see true human-like capabilities. AI is everywhere – or so you might be forgiven for ...

Understanding the interplay between network architecture, dataset statistics, and learning algorithms is a key challenge in deep learning. We overcome this challenge analytically for zero-noise ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...

Randomized controlled trials are considered the golden standard for estimating treatment effect but are costly to perform and not always possible. Observational data, although readily available, is ...