With the rapid growth of the international banking industry, bank failures can lead to severe economic losses and social ...

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

This repository contains extensive tools and scripts for processing and analyzing neurophysiological signals. The primary focus is on various critical aspects of neurophysiological data handling, ...

“Moments like these remind us why we do what we do: to serve, to save, and to make a real difference. Thanks to incredible teamwork and divine grace, two precious lives were saved.” ...

This paper proposes to select city nodes and establish a multi-objective fuzzy optimization model with mixed time window constraints to consider customer demand and transportation ... The efficacy of ...