IEEE

Improving Network Classification Accuracy through Feature Clustering and Ensemble Machine Learning with Explainable AI

Abstract: Network traffic prediction is critical for ensuring the reliability and efficiency of communication systems. This study explores the integration of feature clustering and ensemble Machine ...
Tech Xplore

TweetyBERT parses canary songs to better understand how brains learn language

A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...
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 ...