Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

Abstract: The principal component analysis approach (PCAA) for the location of the power system fault in a 150 km length, 400 kV and 50 Hz, Thyristor-Controlled Series- Compensated Transmission Line ...

Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, College of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China. With the ...

Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...

A pedigree can be represented as a genetic relationship matrix (GRM). Therefore, pedigrees can in principle be subjected to (and visualised by) principal component analysis (PCA). However, doing this ...

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...

Department of Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China ...

The authors present a critique of current usage of principal component analysis in geometric morphometrics, making a compelling case with benchmark data that standard techniques perform poorly. The ...