Frontiers

Data analysis competition: connectivity and multivariate classification approaches

While there are a number of advanced data analysis techniques that allow us to embrace distributed electrophysiological activity measured by MEG, these tools are somewhat underexploited. This includes ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
IEEE

Multivariate linear regression method based on SPSS analysis of influencing factors of CPI during epidemic situation

Abstract: In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to ...
C&EN

Intrinsic Kinetics of Polyethylene Terephthalate Pyrolysis via Micropyrolysis and Multivariate Chromatographic Analysis

Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16801, United States Department of Energy and Mineral Engineering, Pennsylvania State University, ...