A combination of unsupervised and supervised machine learning algorithms may be able to assist clinicians in identifying patients undergoing total knee arthroplasty who are more likely to have ...

Maximum likelihood classification results demonstrate that the Rational Function Curve Fitting Feature Extraction (RFCF-FE) method provides better classification accuracies compared to competing ...

This research paper proposes to project a simple and innovative scheme for the generation of dynamic S-boxes by employing a novel cubic modular transformation along with the trigonometric sine ...

We estimate the slope of the Phillips curve in the cross section of U.S. states using newly constructed state-level price indexes for non-tradeable goods back to 1978. Our estimates indicate that the ...

We hypothesized that the arterial input function (AIF) variability on perfusion computed ... (typically proximal anterior or middle cerebral artery). If the automated AIF curve selection did not ...

like least square, consider the following dataset A=[-2.0 5.0; -1.5 3.25; -1.0 2.0 ; -0.5 1.25; 0.0 1.0 ; 0.5 2.55; 1.0 2.0 ; 1.5 3.25; 2.0 5.0 ;] Let us assume that we wish to find a fitting function ...

World Population Prospects 2022 is the twenty-seventh edition of the official United Nations population estimates and projections.It presents population estimates from 1950 to the present for 237 ...

The Frank–Starling law is characterized by a ventricular function curve indicating that LSW increases with left ventricular end-diastolic pressure (LVEDP) (36). Additionally, there exists a positive ...

# Training Spherical Gaussians python train.py -s ./example/00000006 -m ./output/Gaussain/00000006 # 3D Parametric Curve Reconstrcution python ./parametric_curve ...