7 citations · 12 across the 9 of their papers we have counts for
9 papers
A Novel Hybrid Grey Wolf Differential Evolution Algorithm
Ioannis D. Bougas, Pavlos Doanis, Maria S. Papadopoulou +8
Grey wolf optimizer (GWO) is a nature-inspired stochastic meta-heuristic of the swarm intelligence field that mimics the hunting behavior of grey wolves. Differential evolution (DE…
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…
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…
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis
Vladislav Li, Ilias Siniosoglou, Thomai Karamitsou +6
Autonomous Vehicles (AVs) use natural images and videos as input to understand the real world by overlaying and inferring digital elements, facilitating proactive detection in an e…
Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study
Dimitris Asimopoulos, Ilias Siniosoglou, Vasileios Argyriou +5
In the digital era, with escalating privacy concerns, it's imperative to devise robust strategies that protect private data while maintaining the intrinsic value of textual informa…
Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches
Dimitris Asimopoulos, Ilias Siniosoglou, Vasileios Argyriou +6
In the realm of data privacy, the ability to effectively anonymise text is paramount. With the proliferation of deep learning and, in particular, transformer architectures, there i…
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…
A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning
Georgios Tsoumplekas, Vladislav Li, Panagiotis Sarigiannidis +1
Despite the widespread success of deep learning, its intense requirements for vast amounts of data and extensive training make it impractical for various real-world applications wh…
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study
Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed +4
The advent of Internet of Things (IoT) has bring a new era in communication technology by expanding the current inter-networking services and enabling the machine-to-machine commun…