Extreme Learning Machines and Neural Networks Publication Trend The graph below shows the total number of publications each year in Extreme Learning Machines and Neural Networks.

Image noise estimation is vital in noise removal in biomedical imaging and computer vision applications. A precise calculation of the noise standard deviation is required for the image-denoising ...

This paper introduces a novel kernel-based formulation for the efficient uncertainty quantification of integrated circuits. The method combines the polynomial chaos expansion (PCE) and Gaussian ...

A Cox proportional hazards regression model was fitted to identify independent predictors of chronic kidney disease incidence. Variables with p<0.05 in the multivariable model were considered ...

The M-polynomial is a powerful tool in chemical graph theory used to describe the properties of a molecular graph. It encodes the graph’s structure and provides a compact representation for ...