8 citations · 17 across the 9 of their papers we have counts for
4 papers · 1 filter
Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment
Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos +4
Over the recent years, the protection of the so-called `soft-targets', i.e. locations easily accessible by the general public with relatively low, though, security measures, has em…
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions
Panagiotis Alimisis, Ioannis Mademlis, Panagiotis Radoglou-Grammatikis +2
Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets…
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
Pavlos S. Bouzinis, Panagiotis Radoglou-Grammatikis, Ioannis Makris +5
Federated learning (FL) is a decentralized learning technique that enables participating devices to collaboratively build a shared Machine Leaning (ML) or Deep Learning (DL) model…
Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
Georgios Tsoumplekas, Vladislav Li, Ilias Siniosoglou +5
In the ever-evolving era of Artificial Intelligence (AI), model performance has constituted a key metric driving innovation, leading to an exponential growth in model size and comp…