IEEE

Accuracy Comparison of Logistic Regression, Random Forest, and Neural Networks Applied to Real MaaS Data

Abstract: The paper deals with a comparative analysis of three widely used data analysis methods: logistic regression, random forest, and neural networks. These methods have been evaluated in terms of ...
RMD Open

Distinct pattern of comorbidities hinders treatment target attainment in SLE through persistent disease activity and delayed glucocorticoid tapering: longitudinal data fro…

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
The Lancet

Impact of cigarette prices and age-of-sale policies on smoking prevalence among youth in 26 European Member States (2012–2023): a longitudinal ecological study using repeated ...

aTobacco Control Unit, WHO Collaborating Centre for Tobacco Control, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Spain ...
IEEE

Improving Regression in Spiking Neural Networks for Oceanographic Data Analysis

Abstract: Spiking neural networks (SNNs), as the third-generation neural networks, can work under an energy efficient mode. SNNs are different from the second-generation neural networks which consume ...