Results 31 to 40 of about 1,434,136 (298)
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning [PDF]
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The Satisfied User Ratio (SUR) curve for a lossy image compression scheme, e.g., JPEG, characterizes the ...
Fan, Chunling +6 more
core +1 more source
Establishment and validation of a prognostic survival prediction model for colorectal cancer patients with liver metastasis: based on SEER database [PDF]
Objective To explore the relevant factors affecting patients with liver metastasis of colorectal cancer, and to establish a nomogram prediction model to provide evidence for individualized diagnosis and treatment.Methods To retrospectively analyze the ...
CHEN Chen, MU Conghui, YUAN Shuai
doaj +1 more source
Surface dynamic subsidence prediction model based on multi-function crossover and its application
In order to study the dynamic influence of working face mining on surface subsidence, taking a mine in Wuhai as the engineering background, the prediction function model of surface dynamic subsidence is constructed by using Knothe time function and ...
Wencai WANG +4 more
doaj +1 more source
A PAUC-based Estimation Technique for Disease Classification and Biomarker Selection. [PDF]
The partial area under the receiver operating characteristic curve (PAUC) is a well-established performance measure to evaluate biomarker combinations for disease classification.
Hothorn, Torsten +3 more
core +1 more source
A full stress–strain (SS) curve is an important material property for characterizing mechanical behavior. It can be obtained directly from conventional uniaxial tensile tests.
Seongin Moon +4 more
doaj +1 more source
Nova Aquilae 1918 (V603 Aql) Faded by 0.44 mag/century from 1938-2013 [PDF]
We present the light curve of the old nova V603 Aql (Nova Aql 1918) from 1898-1918 and 1934-2013 using 22,721 archival magnitudes. All of our magnitudes are either in, or accurately transformed into, the Johnson $B$ and $V$ magnitude systems.
Henden, Arne +3 more
core +3 more sources
Partial summary measures of the predictiveness curve [PDF]
In the evaluation of a biomarker for risk prediction, one can assess the performance of the biomarker in the population of interest by displaying the predictiveness curve. In conjunction with an assessment of the classification accuracy of a biomarker, the predictiveness curve is an important tool for assessing the usefulness of a risk prediction model.
Sachs, Michael C., Zhou, Xiao-Hua
openaire +2 more sources
ObjectiveTo analyze the risk factors of in-stent restenosis (ISR) after the first implantation of drug-eluting stent (DES) patients with coronary heart disease (CHD) and to establish a nomogram model to predict the risk of ISR.MethodsThis study ...
Hongfei Xi +6 more
doaj +1 more source
Improving PWR core simulations by Monte Carlo uncertainty analysis and Bayesian inference
A Monte Carlo-based Bayesian inference model is applied to the prediction of reactor operation parameters of a PWR nuclear power plant. In this non-perturbative framework, high-dimensional covariance information describing the uncertainty of microscopic ...
Ahnert, Carolina +5 more
core +2 more sources
Growth curve prediction from optical density data [PDF]
A fundamental aspect of predictive microbiology is the shape of the microbial growth curve and many models are used to fit microbial count data, the modified Gompertz and Baranyi equation being two of the most widely used. Rapid, automated methods such as turbidimetry have been widely used to obtain growth parameters, but do not directly give the ...
Mytilinaios, Ioannis +3 more
openaire +4 more sources

