2 papers
eess.SP2026
Simulation-Driven Ensemble Machine Learning for Robust and Generalizable Path Loss Prediction
Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang +3
Machine learning has emerged as a promising approach to path loss prediction, yet its effectiveness often degrades when measurement data are scarce. To address this limitation, we…
cs.LG2024
Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction
Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang +4
Machine learning (ML) offers a promising solution to pathloss prediction. However, its effectiveness can be degraded by the limited availability of data. To alleviate these challen…