10 papers
Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation
Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3
Quadratic unconstrained binary optimization (QUBO) has emerged as a powerful framework for medical computing problems. Binary decision variables naturally represent clinical choice…
Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
Mohammad Arif Rasyidi, Omar Alhussein, Sami Muhaidat +1
Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluat…
Topology-Preserving Deep Joint Source-Channel Coding for Semantic Communication
Omar Erak, Omar Alhussein, Fang Fang +1
Many wireless vision applications, such as autonomous driving, require preservation of global structural information rather than only per-pixel fidelity. However, existing Deep joi…
Enhanced Open-Source NWDAF for Event-Driven Analytics in 5G Networks
Henok Daniel, Omar Alhussein, Jie Liang +2
The network data analytics function (NWDAF) has been introduced in the fifth-generation (5G) core standards to enable event-driven analytics and support intelligent network automat…
Max-Min Fairness in Stacked Intelligent Metasurface-Aided Rate Splitting Networks
Abdullah Quran, Shimaa Naser, Maryam Tariq +2
This paper investigates a downlink multiuser multiple-input single-output system that integrates rate-splitting multiple access (RSMA) with a stacked intelligent metasurface (SIM)…
Hybrid Quantum-Classical Detection for RIS-Assisted SC-FDE via Grover Adaptive Search
Maryam Tariq, Omar Alhussein, Raneem Abdelraheem +3
Wideband and low-latency requirements in sixth-generation (6G) networks demand detectors that approach maximum-likelihood (ML) performance without incurring exponential complexity.…