2 papers
eess.SP2026
LatentWave: JEPA Pretraining for Wireless Foundation Models
Ahmed Mohamed, Ahmed Aboulfotouh, Hatem Abou-Zeid
Wireless foundation models have emerged as a promising alternative to building separate models for each wireless task. However, existing approaches rely on masked input reconstruct…
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…