Results 171 to 180 of about 349,334 (290)

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Extensions of multinomial processing tree models for continuous variables: A simulation study comparing parametric and non-parametric approaches. [PDF]

Behav Res Methods
Gutkin A, Heck DW.
europepmc   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Calibration Transfer Based on Nonparametric Varying Coefficient Regression. [PDF]

ACS Omega
Guo J, Zhang N, Li B, Wang Y, Fan M, Liu J, Li F, Jin Z, Feng S, Yang S, Xie F, Nie C, Zhao L, Wang H.   +13 more
europepmc   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Simulations of genomic selection implementation pathways in common bean (Phaseolus vulgaris L.) using parametric and nonparametric models. [PDF]

Plant Genome
Chiaravallotti I, Hoyos-Villegas V.
europepmc   +1 more source

Phylogenomics, ecomorphological evolution, and historical biogeography in Deuterocohnia (Bromeliaceae: Pitcairnioideae)

American Journal of Botany, EarlyView.
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li, Nicole Schütz, Kurt Weising, Georg Zizka, Jacob B. Landis, Thomas J. Givnish   +5 more
wiley   +1 more source

Critical evaluation of factorial experimental designs and temporal confounding in comparative analysis of dietary vs parenteral iron administration effects on cortical and trabecular bone parameters. [PDF]

JBMR Plus
Zaheer MH, Shahnawaz Z, Zaheer H.
europepmc   +1 more source

Implementing an Indigenous Research Methodology to Develop a Culturally Appropriate Survey and Yarning Protocol: Challenges With Retention of the Aboriginal Health, Ageing and Disability Workforce

Australian Journal of Social Issues, EarlyView.
ABSTRACT Aboriginal staff play a vital part in improving culturally safe and effective services and supports for Aboriginal people. Research on the Aboriginal workforce helps advance a culturally safe environment for workers and Aboriginal people accessing health and community services. This study aims to identify the barriers and enablers to workforce
F. Talbot, J. Gilroy, J. Gwynn, K. Bulkeley, C. Alcorso, K. Gwynne, Rob Heard, Sarah Peter, A. Haines, M. Lincoln, B. Rambaldini   +10 more
wiley   +1 more source

Wasserstein GAN-based estimation for conditional distribution function with current status data. [PDF]

Lifetime Data Anal
Su W, Liu C, Yin G, Huang J.
europepmc   +1 more source