output
20162026
most citedGraph Laplacian Diffusion Localization of Connected and Automated Vehicles

28 citations

20 papers

cs.RO2026

Fast and Accurate Outlier-Aware LiDAR Super-Resolution for SLAM Applications

Christos Anagnostopoulos, Alexandros Gkillas, Nikos Piperigkos +1

This work tackles the challenge of enhancing low-resolution LiDAR sensors for SLAM applications through a novel Deep Unrolling-based Super-Resolution (SR) model. We integrate an ou…

cs.NI2026

Towards Secure and Interoperable Data Spaces for 6G: The 6G-DALI Approach

Dimitrios Amaxilatis, Themistoklis Sarantakos, Nikolaos Tsironis +2

The next generation of mobile networks, 6G, is expected to enable data-driven services at unprecedented scale and complexity, with stringent requirements for trust, interoperabilit…

cs.RO2026★ 2 cited

Digital Twin based Automatic Reconfiguration of Robotic Systems in Smart Environments

Angelos Alexopoulos, Agorakis Bompotas, Nikitas Rigas Kalogeropoulos +3

Robotic systems have become integral to smart environments, enabling applications ranging from urban surveillance and automated agriculture to industrial automation. However, their…

cs.AI2025★ 1 cited

SUSTAINABLE Platform: Seamless Smart Farming Integration Towards Agronomy Automation

Agorakis Bompotas, Konstantinos Koutras, Nikitas Rigas Kalogeropoulos +4

The global agricultural sector is undergoing a transformative shift, driven by increasing food demands, climate variability and the need for sustainable practices. SUSTAINABLE is a…

cs.HC2025

Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach

Bibeg Limbu, Irene-Angelica Chounta, Vilma Sukacke +5

This paper explores the needs and expectations of educational stakeholders for AI (Artificial Intelligence)-enhanced learning environments. Data was collected following two-phased…

eess.SP2025★ 3 cited

Dimensionality Reduction on IoT Monitoring Data of Smart Building for Energy Consumption Forecasting

Konstantinos Koutras, Agorakis Bompotas, Constantinos Halkiopoulos +2

The Internet of Things (IoT) plays a major role today in smart building infrastructures, from simple smart-home applications, to more sophisticated industrial type installations. T…

cs.LG2025★ 2 cited

Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data

Dimitrios Amaxilatis, Themistoklis Sarantakos, Ioannis Chatzigiannakis +1

In this work, we explore the application of recent data imputation techniques to enhance monitoring and management of water distribution networks using smart water meters, based on…

cs.LG2024★ 3 cited

GLANCE: Global Actions in a Nutshell for Counterfactual Explainability

Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas +9

The widespread deployment of machine learning systems in critical real-world decision-making applications has highlighted the urgent need for counterfactual explainability methods…

eess.SP2023★ 16 cited

AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL

Suvidha Mhatre, Ferran Adelantado, Kostas Ramantas +1

This paper addresses how to handle slice resources for 6G networks at different time scales in an architecture based on an open radio access network (ORAN). The proposed solution i…

cs.CR2023★ 21 cited

RETINA: Distributed and Secure Trust Management for Smart Grid Applications and Energy Trading

Vaios Boulgourasa, Thodoris Ioannidis, Ilias Politis +1

The rapid adoption of smart grids demands robust security and efficiency measures due to their critical role in delivering electricity and their potential for customer-oriented ben…

cs.CY2022★ 3 cited

Understanding the Effect of the COVID-19 Pandemic on the Usage of School Buildings in Greece Using an IoT Data-Driven Analysis

Georgios Mylonas, Dimitrios Amaxilatis, Ioannis Chatzigiannakis

The COVID-19 pandemic has brought profound change in the daily lives of a large part of the global population during 2020 and 2021. Such changes were mirrored in aspects such as ch…

cs.CV2021★ 23 cited

Fast mesh denoising with data driven normal filtering using deep variational autoencoders

Stavros Nousias, Gerasimos Arvanitis, Aris S. Lalos +1

Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering.…

eess.SP2021★ 28 cited

Graph Laplacian Diffusion Localization of Connected and Automated Vehicles

Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis

In this paper, we design distributed multi-modal localization approaches for Connected and Automated vehicles. We utilize information diffusion on graphs formed by moving vehicles,…

cs.LG2021★ 4 cited

A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks

Erion-Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos

Deep learning and especially the use of Deep Neural Networks (DNNs) provides impressive results in various regression and classification tasks. However, to achieve these results, t…

cs.CV2021★ 14 cited

Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices

Kostas Blekos, Stavros Nousias, Aris S Lalos

Delineation approaches provide significant benefits to various domains, including agriculture, environmental and natural disasters monitoring. Most of the work in the literature ut…

eess.SP2021

Cooperative Multi-Modal Localization in Connected and Autonomous Vehicles

Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis +1

Cooperative Localization is expected to play a crucial role in various applications in the field of Connected and Autonomous vehicles (CAVs). Future 5G wireless systems are expecte…

eess.SY2021

Empowering cyberphysical systems of systems with intelligence

Stavros Nousias, Nikos Piperigkos, Gerasimos Arvanitis +3

Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, rea…

cs.DC2020★ 3 cited

Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration

Christos Tselios, Stavros Nousias, Dimitris Bitzas +5

As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substan…

eess.SP2018

Block-Based Spectral Processing of Static and Dynamic 3D Meshes using Orthogonal Iterations

Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas

Spectral methods are widely used in geometry processing of 3D models. They rely on the projection of the mesh geometry on the basis defined by the eigenvectors of the graph Laplaci…

cs.DS2016

K-clique-graphs for Dense Subgraph Discovery

G. Nikolentzos, P. Meladianos, Y. Stavrakas +1

Finding dense subgraphs in a graph is a fundamental graph mining task, with applications in several fields. Algorithms for identifying dense subgraphs are used in biology, in finan…