activity
20232025
most citedAI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities

23 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2025

A Digital Twin Platform for QoS Optimization Under DoS Attacks for Next Generation Radio Networks

Mehmet Ali Erturk, Kubra Duran, Ahmed Al-Dubai +1

Digital Twins are being used as an enabling technology in 6G applications across various domains, valued for their data-driven insights and real-time decision-making capabilities.…

cs.NI2024

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks

Kubra Duran, Mehmet Ozdem, Kerem Gursu +1

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant…

cs.NI2024

DTRAN: A Special Use Case of RAN Optimization using Digital Twin

Caglar Tunc, Kubra Duran, Buse Bilgin +2

The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networ…

cs.LG2024★ 23 cited

AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities

Lal Verda Cakir, Kubra Duran, Craig Thomson +2

Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these s…

cs.NI2023

Digital Twin-Native AI-Driven Service Architecture for Industrial Networks

Kubra Duran, Matthew Broadbent, Gokhan Yurdakul +1

The dramatic increase in the connectivity demand results in an excessive amount of Internet of Things (IoT) sensors. To meet the management needs of these large-scale networks, suc…