Federated learning (FL) enables distributed model training by exchanging models rather than raw data, preserving privacy and reducing communication overhead. However, as the number of FL users grows, ...

In this paper, a method of bisection is introduced as a tool to considerably reduce the amount of computation time required in the stochastic evaluation of power system transient stability. This ...

This repository is provided as a tutorial for the implementation of integration algorithms of first and second order ODEs through recurrent neural networks in Python. The first order example ...

Therefore, this study aimed to explore the effects of the sequence of learning method implementation on both enjoyment of the activity and motor skill acquisition. The order of implementation was ...

Scope This project provides an efficient implementation of the text clustering algorithm "sequential Information Bottleneck" (sIB), introduced by Slonim, Friedman and Tishby (2002). The project is ...