most citedDeep Learning-based Estimation for Multitarget Radar Detection

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024

Joint Adaptive OFDM and Reinforcement Learning Design for Autonomous Vehicles: Leveraging Age of Updates

Mamady Delamou, Ahmed Naeem, Huseyin Arslan +1

Millimeter wave (mmWave)-based orthogonal frequency-division multiplexing (OFDM) stands out as a suitable alternative for high-resolution sensing and high-speed data transmission.…

eess.SP20241 cited

MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion

Yaya Etiabi, Eslam Eldeeb, Mohammad Shehab +4

Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system…

cs.IT2024

Interference Reduction Design for Improved Multitarget Detection in ISAC Systems

Mamady Delamou, El Mehdi Amhoud

The advancement of wireless communication systems toward 5G and beyond is spurred by the demand for high data rates, exceedingly dependable low-latency communication, and extensive…

eess.SP20231 cited

Deep Learning-based Estimation for Multitarget Radar Detection

Mamady Delamou, Ahmad Bazzi, Marwa Chafii +1

Target detection and recognition is a very challenging task in a wireless environment where a multitude of objects are located, whether to effectively determine their positions or…

eess.SP20231 cited

Federated Learning based Hierarchical 3D Indoor Localization

Yaya Etiabi, Wafa Njima, El Mehdi Amhoud

The proliferation of connected devices in indoor environments opens the floor to a myriad of indoor applications with positioning services as key enablers. However, as privacy issu…