LASSO (Least Absolute Shrinkage and Selection Operator) regression was employed for feature selection to identify the most salient predictors and mitigate model complexity. The optimal lambda value ...

Abstract: Aiming at predicting the key economic and technical indicators (Granularity and Ore content)in the grinding production process, the extreme learning machine (ELM) soft-sensor model with ...

Artificial intelligence has become critical to core financial and operational processes, allowing leaders to architect systems of decision-making, productivity, and governance. The Chief Financial ...

The Signals pattern was first introduced in JavaScript’s Knockout framework. The basic idea is that a value alerts the rest of the application when it changes. Instead of a component checking its data ...

SINGAPORE – About 360 children under the age of four who were at risk of developmental delays and behavioural issues after being ill-treated by their caregivers have benefited from a programme that ...

Summary: Researchers found that everyday speech timing — including pauses, fillers, and subtle patterns — strongly reflects executive function, a key cognitive system that supports memory and flexible ...

Abstract: Lower limb motor dysfunction severely impacts stroke patients’ daily activities and quality of life. Traditional assessment methods often rely on subjective clinical scales, which are ...

1 Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, ...

This is the official implementation of our paper "Riemannian Optimization on Relaxed Indicator Matrix Manifold" . We propose a fundamental manifold in machine learning—the Relaxed Indicator Matrix ...

Statistics Canada is the national statistical office. The agency ensures Canadians have the key information on Canada's economy, society and environment that they require to function effectively as ...