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Mohamed Sana

2 accepted papers

2026

Goal-Oriented Time-Series Forecasting: Foundation Framework Design

AAAI 2026technical

Conventional time-series forecasting methods typically aim to minimize overall prediction error, without accounting for the varying importance of different forecast ranges in downstream applications. We propose a training methodology that enables forecasting models to adapt their focus to applicatio

Cited by 0SourcePDFScholar
2020

Multi-Agent Deep Reinforcement Learning For Distributed Handover Management In Dense MmWave Networks

ICASSP 2020accepted

The dense deployment of millimeter wave small cells combined with directional beamforming is a promising solution to enhance the network capacity of the current generation of wireless communications. However, the reliability of millimeter wave communication links can be affected by severe pathloss,…

Cited by 0SourceScholar