Improving the accuracy of the gradient method for determining soil carbon dioxide efflux
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016jg003530
Abstract: NSF [1417101, 1331408]; Marie Curie International Outgoing Fellowship within the Seventh European Community, DIESEL project [625988] read more here.
Keywords: determining soil; accuracy gradient; gradient method; improving accuracy ... See more keywords
Improving accuracy of myocardial T1 estimation in MyoMapNet
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29397
Abstract: To improve the accuracy and robustness of T1 estimation by MyoMapNet, a deep learning–based approach using 4 inversion‐recovery T1‐weighted images for cardiac T1 mapping. read more here.
Keywords: improving accuracy; accuracy; estimation myomapnet; accuracy myocardial ... See more keywords
Two-dimensional correlation (2D) method for improving the accuracy of OCT-based noninvasive blood glucose concentration (BGC) monitoring
Sign Up to like & getrecommendations! Published in 2021 at "Lasers in Medical Science"
DOI: 10.1007/s10103-021-03244-x
Abstract: The optical scattering coefficient (μs) in the dermis layer of human skin obtained with optical coherence tomography (OCT) has shown to have a strong correlation with the blood glucose concentration (BGC), which can be used… read more here.
Keywords: bgc; improving accuracy; method; correlation ... See more keywords
Improving the accuracy of machine-learning models with data from machine test repetitions
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-020-01661-3
Abstract: The modelling of machining processes by means of machine-learning algorithms is still based on principles that are especially adapted to mechanical approaches, in which very few inputs are varied with little repetition of experimental conditions.… read more here.
Keywords: improving accuracy; test; machine; learning models ... See more keywords
Improving accuracy of interatomic potentials: more physics or more data? A case study of silica
Sign Up to like & getrecommendations! Published in 2019 at "Materials Today Communications"
DOI: 10.1016/j.mtcomm.2018.11.008
Abstract: Abstract In this paper we test two strategies to improving the accuracy of machine-learning potentials, namely adding more fitting parameters thus making use of large volumes of available quantum-mechanical data, and adding a charge-equilibration model… read more here.
Keywords: physics; potentials physics; improving accuracy; accuracy ... See more keywords
Improving the Accuracy of Atomistic Simulations of the Electrochemical Interface.
Sign Up to like & getrecommendations! Published in 2022 at "Chemical reviews"
DOI: 10.1021/acs.chemrev.1c00800
Abstract: Atomistic simulation of the electrochemical double layer is an ambitious undertaking, requiring quantum mechanical description of electrons, phase space sampling of liquid electrolytes, and equilibration of electrolytes over nanosecond time scales. All models of electrochemistry… read more here.
Keywords: accuracy atomistic; electrochemistry; interface; improving accuracy ... See more keywords
Improving the accuracy of computing chemical potentials in CFCMC simulations
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Physics"
DOI: 10.1080/00268976.2019.1631497
Abstract: ABSTRACT The CFCMC simulation methodology considers an expanded ensemble to solve the problem of low insertion/deletion acceptance probabilities in open ensembles. It allows for a direct calculation of the chemical potential by binning of the… read more here.
Keywords: fractional molecules; accuracy computing; improving accuracy; boltzmann averages ... See more keywords
Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3163279
Abstract: Federated learning (FL) enables a large number of edge devices to learn a shared model without data sharing collaboratively. However, the imbalanced data distribution among users poses challenges to the convergence performance of FL. Group-based… read more here.
Keywords: federated learning; group; accuracy convergence; auto group ... See more keywords
Improving the Accuracy of Digital Unbalanced Impedance Bridges
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16093833
Abstract: This article presents an automatic digital unbalanced impedance bridge for comparing two-port impedances: R-R, R-C and C-C. The bridge consists of a two-channel digital source of voltage sinusoidal waveforms supplying the bridge arms and a… read more here.
Keywords: unbalanced impedance; bridge; impedance; improving accuracy ... See more keywords
Improving the accuracy of single-trial fMRI response estimates using GLMsingle
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.7554/elife.77599
Abstract: Advances in artificial intelligence have inspired a paradigm shift in human neuroscience, yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide high-resolution brain responses to thousands of naturalistic visual stimuli. Because such experiments necessarily… read more here.
Keywords: single trial; trial fmri; trial; response estimates ... See more keywords