Results 21 to 30 of about 2,430,587 (138)
International audienceThis study was aimed at investigating the determinants of environmental sustainability in 86 countries from 2007 to 2018. The natural gradient boosting (NGBoost) algorithm was implemented along with five machine learning models to ...
Jabeur, Sami Ben +7 more
core +1 more source
The triage process in emergency departments (EDs) relies on the subjective assessment of medical practitioners, making it unreliable in certain aspects.
Byounghoon Son +8 more
doaj +1 more source
Genetic and Multi-Omics Insights Into Monocyte Pantothenate-Mediated Protection in Acute Respiratory Distress Syndrome. [PDF]
ABSTRACT Acute respiratory distress syndrome (ARDS) is a severe condition with complex pathogenesis, and emerging evidence highlights the potential role of metabolic factors, though the exact mechanisms are not fully understood. In this study, we used Mendelian randomisation (MR) and multi‐omics approaches to investigate the causal relationship between
Wang Y +6 more
europepmc +2 more sources
Headed studs welded to steel beams and embedded within the concrete of deck slabs are vital components of modern composite floor systems, where safety and economy depend on the accurate predictions of the stud shear resistance.
Hicks, Stephen J., Degtyarev, Vitaliy V.
core +1 more source
The recent global spread of monkeypox, particularly in regions where it has not historically been prevalent, has raised significant public health concerns. Early and accurate diagnosis is critical for effective disease management and control. In response, this study proposes a novel deep learning-based framework for the automated detection of monkeypox
Ahmadreza Shateri +3 more
openaire +2 more sources
Human Activity Recognition: A Comparison of Machine Learning Approaches [PDF]
This study aims to investigate the performance of Machine Learning (ML) techniques used in Human Activity Recognition (HAR). Techniques considered are Naïve Bayes, Support Vector Machine, K-Nearest Neighbor, Logistic Regression, Stochastic Gradient ...
El-Gayar, Omar, AMBATI, LOKNATH SAI
core +1 more source
Multivariate Probabilistic Regression with Natural Gradient Boosting
Many single-target regression problems require estimates of uncertainty along with the point predictions. Probabilistic regression algorithms are well-suited for these tasks.
Sykulski, Adam +3 more
core +2 more sources
<p>Hot-rolled strip steel is an essential material extensively used in various industrial fields, with its mechanical properties being critical to product quality and engineering design. This article presents a method for predicting the mechanical properties of hot-rolled strip steel using the NGBoost (natural gradient boosting) algorithm.
Hongyi Wu, Jinwen Jin, Zhiwei Li
openaire +2 more sources
LIPOTHERM: A Calibration Framework for GDGT Paleothermometry Based on Machine Learning
Abstract SST reconstruction from glycerol dialkyl glycerol tetraethers (GDGT) preserved in marine sediments is an important tool in quantitative paleoclimatology. These reconstructions require calibration frameworks that provide mapping between sediment GDGT data and temperature values.
Vikash Kumar +2 more
wiley +1 more source
Relationship between Successive Flares in the Same Active Region and Space-Weather HMI Active Region Patch (SHARP) Parameters [PDF]
A solar active region (AR) may produce multiple notable flares during its passage across the solar disk. We investigate successive flares from flare-eruptive active regions, and explore their relationship with solar magnetic parameters.
Guo, Yang +3 more
core +1 more source

