IEEE

Uncovering Population Patterns in Volcanic Areas with PCA(Principal Component Analysis of Population Pattern in Volcanic Areas

Abstract: In this paper, we have applied PCA(principal component analysis) to a dataset related to volcanic eruptions, focusing on those variables connected with population density at several ...
IEEE

Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...