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

23 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2025

Digital Twin-Guided Energy Management over Real-Time Pub/Sub Protocol in 6G Smart Cities

Kubra Duran, Lal Verda Cakir, Sana Ullah Jan +2

Although the emergence of 6G IoT networks has accelerated the deployment of enhanced smart city services, the resource limitations of IoT devices remain as a significant problem. G…

cs.NI2024★ 1 cited

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities

Kubra Duran, Lal Verda Cakir, Mehmet Ozdem +2

6G networks are envisioned to enable a wide range of applications, such as autonomous vehicles and smart cities. However, this rapid expansion of network topologies makes the manag…

cs.NI2024

AI-based traffic analysis in digital twin networks

Sarah Al-Shareeda, Khayal Huseynov, Lal Verda Cakir +3

In today's networked world, Digital Twin Networks (DTNs) are revolutionizing how we understand and optimize physical networks. These networks, also known as 'Digital Twin Networks…

cs.NI2024

Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-Hoc Networks

Lal Verda Cakir, Mihriban Kocak, Mehmet Özdem +1

The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-a…

cs.NI2024★ 21 cited

How to synchronize Digital Twins? A Communication Performance Analysis

Lal Verda Cakir, Sarah Al-Shareeda, Sema F. Oktug +3

Synchronization is fundamental for mirroring real-world entities in real-time and supporting effective operations of Digital Twins (DTs). Such synchronization is enabled by the com…

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…