The study provides two important contributions, by convincingly showing that tactile acuity on the breast is poor in comparison to other body parts, and that acuity is worst in larger breasts, ...

Synthetic medical data, typically used to address privacy restrictions or to balance underrepresented cases in training data, ...

Compressing data is nothing new when it comes to computing ... It is a major undertaking, bringing together researchers with a broad range of backgrounds, including computational physics and sciences, ...

nlmod was built to allow users to write scripts to quickly download relevant data from publicly available sources, and build and post-process groundwater flow and transport models at different spatial ...

Abstract: Data discretization plays a critical role in enhancing the performance of the naive Bayes classifier. Traditional data discretization methods often utilize a two-stage framework, where data ...

We develop a theory to describe the two-chain interaction by considering the conformational change during fusion and fission. A fusion-induced coil-to-globule transition in the polymeric solvent is ...

Abstract: In this study, we propose a local stability theory for sampled-data systems employing Lyapunov’s indirect method. Our proposed method focuses on the relationship between exact discretization ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

My name is Sole, the leading instructor at Train in Data and the maintainer of Feature-engine, and together with a group of passionate data scientists and software developers, we maintain and expand ...