C&EN

High-Accuracy Prediction of ScAlN Thin Film Dry Etching Using Machine Learning Driven Regression Modeling

Optical Science & Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States Center for High Tech Technology Materials (CHTM), Albuquerque, New Mexico 87106, United States ...
Frontiers

A preliminary exploration of the regression equation for performance in amateur half-marathon runners: a perspective based on respiratory muscle function

This document presents a study on the relationship between physical characteristics, respiratory muscle capacity, and performance in amateur half-marathon runners. The aim of this study was to ...
IEEE

Efficient Physical Truncation of Low-Frequency ATEM Problems in Specific Geometries by Using Random Forest Regression Based PMM Model

Abstract: In addressing the challenges posed by low-frequency airborne transient electromagnetics (ATEM), it is necessary to take into account the considerations of accuracy, computational efficiency, ...
The Lancet

Association between HPV vaccination and cervical screening policy changes and cervical cancer incidence and grade-3 cervical intraepithelial neoplasia incidence in England ...

aCentre for Cancer Screening, Prevention and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, UK ...
The Lancet

Weight trajectories and access to weight management services in individuals with severe mental illness in the UK: a population-based, matched cohort study

eDepartment of Biochemistry and Molecular Biology II, Faculty of Pharmacy, Centre for Biomedical Research, Institute of Nutrition and Food Technology, Biosanitary Research Institute Granada, ...
C&EN

Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...
IEEE

Inflated Rayleigh Regression Model for High Dynamic Magnitude SAR Image Modeling

Abstract: This letter introduces a novel regression model structure for the inflated Rayleigh distribution, which effectively models high dynamic amplitude pixel values in synthetic aperture radar ...