In this paper, a solver is developed to obtain accurate analytical solutions for fractional partial differential equations based on artificial neural networks. By leveraging the powerful function ...
TSFitPy is a pipeline designed to determine stellar abundances and atmospheric parameters through the use of Nelder-Mead (simplex algorithm) minimization. It calculates model spectra "on the fly" ...
This set of functions focuses on those that the author uses often while crafting programming solutions. These are the scripts that are often copy/pasted from previous work - sometimes slightly ...
Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly required to study theoretical models of the brain’s role in spatial navigation. This process can be time ...
Spatial gradients of signaling molecules shape animal body plans. It has been technologically challenging to directly observe signaling molecules in live cells, and as a result, it is poorly ...
Particle-in-Cell (PIC) simulations are used to model the MS4 test thruster of Thales Deutschland. Given as input the geometric shape, material components, magnetic field and the operating parameters ...
The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results