6 citations · 9 across the 4 of their papers we have counts for
4 papers
Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Zhuoyao Huang, Nan Zhang, Jingran Shen +4
Digital Twin technology facilitates the monitoring and online analysis of large-scale communication networks. Faster predictions of network performance thus become imperative, espe…
Large Language Models for Explainable Decisions in Dynamic Digital Twins
Nan Zhang, Christian Vergara-Marcillo, Georgios Diamantopoulos +4
Dynamic data-driven Digital Twins (DDTs) can enable informed decision-making and provide an optimisation platform for the underlying system. By leveraging principles of Dynamic Dat…
Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms
Jingran Shen, Nikos Tziritas, Georgios Theodoropoulos
With the rapid development of Deep Learning, more and more applications on the cloud and edge tend to utilize large DNN (Deep Neural Network) models for improved task execution eff…
A Baselined Gated Attention Recurrent Network for Request Prediction in Ridesharing
Jingran Shen, Nikos Tziritas, Georgios Theodoropoulos
Ridesharing has received global popularity due to its convenience and cost efficiency for both drivers and passengers and its strong potential to contribute to the implementation o…