185 citations · 375 across the 16 of their papers we have counts for
5 papers · 1 filter
SEArch: Optimistic Policy Selection Between Scene Noise and Drift for UAV Radar Search
Noor Khial, Naram Mhaisen, Loay Ismail +1
Unmanned Aerial Vehicles (UAVs) equipped with radar sensors are deployed for target search missions in diverse environments, where targets exhibit characteristic signatures (e.g.,…
Optimistic Learning for Communication Networks
George Iosifidis, Naram Mhaisen, Douglas J. Leith
AI/ML-based tools are at the forefront of resource management solutions for communication networks. Deep learning, in particular, is highly effective in facilitating fast and high-…
Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services
Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen +2
The forthcoming 6G networks will embrace a new realm of AI-driven services that requires innovative network slicing strategies, namely slicing for AI, which involves the creation o…
Online Caching with no Regret: Optimistic Learning via Recommendations
Naram Mhaisen, George Iosifidis, Douglas Leith
The design of effective online caching policies is an increasingly important problem for content distribution networks, online social networks and edge computing services, among ot…
Online Caching with Optimistic Learning
Naram Mhaisen, George Iosifidis, Douglas Leith
The design of effective online caching policies is an increasingly important problem for content distribution networks, online social networks and edge computing services, among ot…