Abstract: In this paper a recursive algorithm of calculating the discriminant features of the PCA-LDA procedure is introduced. This algorithm computes the principal components of a sequence of vectors ...

Abstract: Research has shown fuzzy c-means (FCM) clustering to be a powerful tool to partition samples into different categories. However, the objective function of FCM is based only on the sum of ...

Due to the inherent subjectivity of Kansei perception, aligning the front-end styling of new energy vehicles (NEVs) with users’ emotional preferences remains a complex challenge. This study proposes a ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Surface electromyogram-based pattern recognition (sEMG-PR) has been considered as the most promising method to control multifunctional prostheses for decades. However, the commercial applications of ...

Here we describe a universal and flexible solution to the above limitations by introducing 'decision rule sets' for lipid subclass–adduct combinations (referred to as 'subclass/adduct') and an ...

1 Department of Optoelectronic Engineering, Jinan University, Guangzhou, China. 2 Guangzhou SonDon Network & Technology Co., Ltd., Guangzhou, China. The identification of liquor brands is very ...

As our collective knowledge continues to be digitized and stored—in the form of news, blogs, Web pages, scientific articles, books, images, sound, video, and social networks—it becomes more difficult ...