Results 71 to 80 of about 57,263 (295)

Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking

Sensors, 2023
The article presents the implementation of artificial intelligence algorithms for the problem of discretization in Electrical Impedance Tomography (EIT) adapted for urinary tract monitoring.
Bartłomiej Baran, Edward Kozłowski, Dariusz Majerek, Tomasz Rymarczyk, Manuchehr Soleimani, Dariusz Wójcik   +5 more
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Feature Selection Guided by Structural Information [PDF]

, 2009
In generalized linear regression problems with an abundant number of features, lasso-type regularization which imposes an l1-constraint on the regression coefficients has become a widely established technique.
Wolfgang zu Castell, Gerhard Tutz, Tutz, Gerhard, zu Castell, W., Slawski, Martin, Tutz, G., Castell, Wolfgang zu, Slawski, M., Martin Slawski, zu Castell, Wolfgang   +9 more
core   +1 more source

Results of gene selection using DEA and elastic-net regression. [PDF]

, 2020
The dataset contained ~ 15.000 genes and 80 samples, groups used for contrast were estrogen positive (n = 61) vs estrogen negative samples (n = 19).
Thilde Terkelsen (7293173), Elena Papaleo (44359), Anders Krogh (17846)   +2 more
core   +1 more source

A time-course prediction model of global COVID-19 mortality

Frontiers in Public Health, 2023
IntroductionThe COVID-19 pandemic has caused over 6 million deaths worldwide and is a significant cause of mortality. Mortality dynamics vary significantly by country due to pathogen, host, social and environmental factors, in addition to vaccination and
Mark Ciaccio, Chris Schneiderman, Abhishek Pandey, Robert Fowler, Kevin Chiou, Gage Koeller, David Hallett, Whitney Krueger, Leon Raskin   +8 more
doaj   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Transfer Elastic Net for Developing Epigenetic Clocks for the Japanese Population

Mathematics
The epigenetic clock evaluates human biological age based on DNA methylation patterns. It takes the form of a regression model where the methylation ratio at CpG sites serves as the predictor and age as the response variable.
Yui Tomo, Ryo Nakaki
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

The comparison of ridge, lasso and elastic net. [PDF]

, 2022
The comparison of ridge, lasso and elastic net.
Yingjun Huang (12475920), Zhengmin Duan (12475923), Yonglian Chang (12475917), Manman Li (4270726)   +3 more
core   +1 more source

Wheat yield prediction based on weather parameters using multiple linear, neural network and penalised regression models

Journal of Agrometeorology, 2022
Wheat yield production is largely attributed by weather parameters. Model developed by multiple linear, neural network and penalised regression techniques using weather data have the potential to provide reliable, timely and cost-effective prediction of
K. S. ARAVIND, ANANTA VASHISTH, P. KRISHANAN, B.DAS   +3 more
doaj   +1 more source