8 citations · 17 across the 9 of their papers we have counts for
11 papers
Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions
Konstantinos Foteinos, Manousos Linardakis, Panagiotis Radoglou-Grammatikis +4
The rapid evolution of deep learning (DL) models and the ever-increasing size of available datasets have raised the interest of the research community in the always-important field…
X-ray illicit object detection using hybrid CNN-transformer neural network architectures
Jorgen Cani, Christos Diou, Spyridon Evangelatos +5
In the field of X-ray security applications, even the smallest details can significantly impact outcomes. Objects that are heavily occluded or intentionally concealed pose a great…
Malware Detection in Docker Containers: An Image is Worth a Thousand Logs
Akis Nousias, Efklidis Katsaros, Evangelos Syrmos +7
Malware detection is increasingly challenged by evolving techniques like obfuscation and polymorphism, limiting the effectiveness of traditional methods. Meanwhile, the widespread…
Public space security management using digital twin technologies
Stylianos Zindros, Christos Chronis, Panagiotis Radoglou-Grammatikis +4
As the security of public spaces remains a critical issue in today's world, Digital Twin technologies have emerged in recent years as a promising solution for detecting and predict…
State of play and future directions in industrial computer vision AI standards
Artemis Stefanidou, Panagiotis Radoglou-Grammatikis, Vasileios Argyriou +3
The recent tremendous advancements in the areas of Artificial Intelligence (AI) and Deep Learning (DL) have also resulted into corresponding remarkable progress in the field of Com…
Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks
Christos Dalamagkas, Panagiotis Radoglou-Grammatikis, Pavlos Bouzinis +7
The ongoing electrification of the transportation sector requires the deployment of multiple Electric Vehicle (EV) charging stations across multiple locations. However, the EV char…
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…
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
Nikolaos Rodis, Christos Sardianos, Panagiotis Radoglou-Grammatikis +3
Despite the fact that Artificial Intelligence (AI) has boosted the achievement of remarkable results across numerous data analysis tasks, however, this is typically accompanied by…