Abstract: Smart Grids rely on extensive monitoring of operational data to ensure reliable and efficient energy distribution. Underground substations, widely used in dense urban areas, pose unique ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupervised learning identifies patterns in ...

In the background of the information age, the importance of data resources can be imagined, and the importance of the use of data resources means—data mining has also emerged. In the current situation ...

We show that deep networks can be trained using Hebbian updates yielding similar performance to ordinary back-propagation on challenging image datasets. To overcome the unrealistic symmetry in ...

Abstract: Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and ...