11 citations · 13 across the 5 of their papers we have counts for
5 papers
AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration
Charalampos Kalalas, Pavol Mulinka, Guillermo Candela Belmonte +10
Artificial intelligence (AI) has been increasingly applied to the condition monitoring of vehicular equipment, aiming to enhance maintenance strategies, reduce costs, and improve s…
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz +6
The increasing demand for efficient resource allocation in mobile networks has catalyzed the exploration of innovative solutions that could enhance the task of real-time cellular t…
A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks
Souneil Park, Pavol Mulinka, Diego Perino
Internet access is a special resource of which needs has become universal across the public whereas the service is operated in the private sector. Mobile Network Operators (MNOs) p…
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach
Pavol Mulinka, Subham Sahoo, Charalampos Kalalas +1
In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters. As fault detection and di…
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
Alexander Beattie, Pavol Mulinka, Subham Sahoo +4
Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems. Robust and explainable strategies help…