IEEE

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

Abstract: Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the ...
InfoWorld

10 tips for getting better R code from your AI coding agent

With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...
IEEE

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics

Abstract: As an efficient feature engineering tool, principal component analysis (PCA) has been widely used for feature extraction in the past decades. While a deep form of PCA has been developed for ...
GitHub

HTTP transports serve session requests without verifying the authenticated principal

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack vector: More severe the more the remote (logically and ...