Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

This repository contains a complete collection of implementations for various Numerical Methods used in computational mathematics. The project covers a wide range of topics including linear and ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A study with 500-plus consumers showed 62 percent of restaurants worry about how consumers will react—and with good reason. Let’s be clear: While dynamic pricing is a feasible option for many ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Population balance equation (PBE) models have the potential to automate many ...

Developing reliable methods to replace dead or damaged tissue is one of the primary goals of regenerative medicine. With steady advances in tissue engineering and biomedicine, scientists are almost at ...

Using a simple yet effective technique, researchers from Doshisha University could harness ultrasound vibrations generated by a piezoelectric transducer to control the orientation of cultured ...

The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...