The raw data collected from the device was imported into EEGLAB (Delorme and Makeig, 2004) 2023 in MATLAB R2023b for preprocessing and batch processing. Electrode placement followed the international ...

In this paper, a novel multiobjective optimization method based on a genetic-fuzzy algorithm (GFA) is proposed. The new GFA method is used for optimal design of a switched reluctance motor (SRM) with ...

In the processing of biphase coded signals, if the ADC sampling moment coincides with the transition edge of the symbol inversion, it can result in the loss of symbol’s peak information. This leads to ...

Clustering / Subspace Clustering Algorithms on MATLAB - xuyxu/Clustering. K-means; K-means++. Generally speaking, this algorithm is similar to K-means;; Unlike classic K-means randomly choosing ...

This repository provides the SeAn-CP method, a semi-analytical algorithm for efficiently calculating critical plane factors in fatigue analysis. Compatible with finite element analysis, it handles ...