Results 61 to 70 of about 92,198 (268)

Non-local Multi-continua Upscaling for Flows in Heterogeneous Fractured Media

open access: yes, 2017
In this paper, we propose a rigorous and accurate non-local (in the oversampled region) upscaling framework based on some recently developed multiscale methods [10].
Chung, Eric T.   +4 more
core   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

open access: yesAdvanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad   +4 more
wiley   +1 more source

Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach

open access: yes, 2019
Early detection of patients vulnerable to infections acquired in the hospital environment is a challenge in current health systems given the impact that such infections have on patient mortality and healthcare costs.
Ballesteros-Herráez, Juan Carlos   +4 more
core   +1 more source

Time-interleaved oversampling convertors

open access: yesElectronics Letters, 1993
A new architecture is proposed which exploits the time-interleaving concept to increase the oversampling ratio in delta-sigma modulators. It is shown that the effective oversampling ratio is increased by a factor M through the use of M interconnected modulators.
R. Khoini-Poorfard, D.A. Johns
openaire   +1 more source

Clinical, Genetic, and Pathologic Variability in Myelodysplastic Syndromes and Precursor Conditions Across Race, Ethnicity, and Sex

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT The epidemiology of myelodysplastic syndromes/neoplasms (MDS) is challenging to define due to inconsistent reporting, complex diagnostic procedures, and evolving diagnostic criteria. Using the National MDS Natural History Study—a prospective cohort with centrally adjudicated histopathology and genetic variant review—we characterized the ...
Nancy Gillis   +25 more
wiley   +1 more source

Oversampling ADC: A Review of Recent Design Trends

open access: yesIEEE Access
Oversampling analog-to-digital converters (ADC) serve as the backbone of high-performance, high-precision data interfaces, owing to their remarkable ability to filter out quantization noise. This attribute makes them the preferred choice for applications
Antoine Verreault   +2 more
doaj   +1 more source

A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification

open access: yesIEEE Access, 2019
Oversampling is an efficient technique in dealing with class-imbalance problem. It addresses the problem by reduplicating or generating the minority class samples to balance the distribution between the samples of the majority and the minority class ...
Yuanting Yan   +5 more
doaj   +1 more source

The Cost of the National Disability Insurance Scheme: Australia's Print‐Media Discourse

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT This paper examines the way that Australian newspapers have framed the cost of the National Disability Insurance Scheme (NDIS). Introduced in 2013, the NDIS represented a major change in Australia's disability support policy, moving for the first time to a nationwide universal insurance model.
Meera Chinnappa   +2 more
wiley   +1 more source

Phase Retrieval with Random Phase Illumination

open access: yes, 2012
This paper presents a detailed, numerical study on the performance of the standard phasing algorithms with random phase illumination (RPI). Phasing with high resolution RPI and the oversampling ratio $\sigma=4$ determines a unique phasing solution up to ...
Albert Fannjiang   +20 more
core   +3 more sources

Influence of Preprocessing Methods of Automated Milking Systems Data on Prediction of Mastitis with Machine Learning Models

open access: yesAgriEngineering
Missing data and class imbalance hinder the accurate prediction of rare events such as dairy mastitis. Resampling and imputation are employed to handle these problems.
Olivier Kashongwe   +7 more
doaj   +1 more source

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