PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Abstract: Principal Components Analysis (PCA) is a popular dimensionality reduction and feature selection technique. It works by swiping non-informative features while retaining those that are still ...

Abstract: This study aims to analyze hidden factors that influence soil sensor measurement results, including nitrogen, phosphorus, and pH levels. In this analysis, the Independent Component Analysis ...