Lean Six Sigma practitioners are emphasizing the often-overlooked Control phase as key to preventing process regression once projects conclude. Strategies include robust documentation, ...

A new guide outlines strategies to prevent process regression after Lean Six Sigma projects, emphasizing the often-overlooked Control phase of the DMAIC cycle. Recommendations include strong process ...

Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...

Abstract: Robust regression methods are essential for estimating parameters in linear regression models, especially when data is contaminated by outliers or small fluctuations, common in real-world ...

ABSTRACT: Pyrethrum (Chrysanthemum cinerariaefolium L.) is an industrial crop with complex morphology and diverse physico-mechanical properties that jeopardize the optimal design of precision ...

A simple implementation of the Nadaraya-Watson kernel regression estimator for usage with scikit-learn. Please note that the parameterization is slightly different from this other library. In my ...

Acute kidney injury (AKI) following acute myocardial infarction (AMI) notably affects patient outcomes. The impact of KDIGO AKI staging on post-discharge short- and long-term outcomes, particularly ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Abstract: As machine-learning models grow in size, their implementation requirements cannot be met by a single computer system. This observation motivates distributed settings, in which intermediate ...