Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...
Abstract: Global navigation satellite system (GNSS) spoofing attacks pose a serious threat to existing 5G and future 6G networks, as they rely heavily on the high-precision time synchronization ...
The evaluation of genetic diversity in germplasm resources is fundamental to crop breeding. A total of 183 oat germplasm resources were evaluated through field trials at Xinjin District and Shandan ...
BEAUFORT COUNTY, N.C. (WITN) - A Beaufort County educator says she’ll use lottery winnings to help her family. Rosalyn Grimes, an assistant principal from Aurora, won $100,000 in the recent Powerball ...
College of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum (East China), Qingdao 266580, China State Key Laboratory of Chemical Safety, China University ...
Inductively coupled plasma mass spectrometry (ICP-MS) is prominently used for analyzing elemental composition in individual cells. However, the conventional sample introduction system of ICP-MS causes ...
ABSTRACT: This article examines the effect of economic vulnerability on inclusive growth across 49 developing countries from 1991 to 2020, focusing on the mitigating role of agricultural structural ...
ABSTRACT: This study investigates the use of a decision tree classification model, combined with Principal Component Analysis (PCA), to distinguish between Assam and Bhutan ethnic groups based on ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback