Ai in energy digital twining: A reinforcement learning-based adaptive digital twin model for green cities

LV Cakir, K Duran, C Thomson, M Broadbent… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks

K Duran, H Shin, TQ Duong… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The dramatic increase in smart services makes adaptive management of communication
networks more critical. Especially for Internet of Things (IoT) networks, adaptive …

Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks

K Duran, LV Cakir, A Fonzone… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Evolving transportation networks need seamless integration and effective infrastructure
utilisation to form the next-generation transportation networks. Also, they should be capable …

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

K Duran, LV Cakir, M Ozdem, K Gursu… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Optimal Digital Twinning of Random Systems with Twinning Rate Constraints

C Tunc - arXiv preprint arXiv:2410.02487, 2024 - arxiv.org
With the massive advancements in processing power, Digital Twins (DTs) have become
powerful tools to monitor and analyze physical entities. However, due to the potentially very …