activity
20132023
most citedA Survey of Robotic Harvesting Systems and Enabling Technologies

106 citations · 360 across the 13 of their papers we have counts for

collaborators

14 papers

cs.RO2023★ 4 cited

From Detection to Action Recognition: An Edge-Based Pipeline for Robot Human Perception

Petros Toupas, Georgios Tsamis, Dimitrios Giakoumis +2

Mobile service robots are proving to be increasingly effective in a range of applications, such as healthcare, monitoring Activities of Daily Living (ADL), and facilitating Ambient…

cs.AR2023★ 5 cited

fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs

Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras

Surveillance systems, autonomous vehicles, human monitoring systems, and video retrieval are just few of the many applications in which 3D Convolutional Neural Networks are exploit…

cs.CV2023★ 7 cited

FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition

Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras

3D Convolutional Neural Networks are gaining increasing attention from researchers and practitioners and have found applications in many domains, such as surveillance systems, auto…

cs.AR2023★ 12 cited

HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices

Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis +1

For Human Action Recognition tasks (HAR), 3D Convolutional Neural Networks have proven to be highly effective, achieving state-of-the-art results. This study introduces a novel str…

eess.AS2022★ 31 cited

Open Challenges in Synthetic Speech Detection

Luca Cuccovillo, Christoforos Papastergiopoulos, Anastasios Vafeiadis +4

In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis of available open datasets and of existing…

cs.RO2022★ 106 cited

A Survey of Robotic Harvesting Systems and Enabling Technologies

Leonidas Droukas, Zoe Doulgeri, Nikolaos L. Tsakiridis +7

This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and r…

cs.GR2020

A Characterization of 3D Printability

Ioannis Fudos, Margarita Ntousia, Vasiliki Stamati +5

Additive manufacturing technologies are positioned to provide an unprecedented innovative transformation in how products are designed and manufactured. Due to differences in the te…

cs.CV2020★ 39 cited

A Deep Learning Framework for Simulation and Defect Prediction Applied in Microelectronics

Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis +4

The prediction of upcoming events in industrial processes has been a long-standing research goal since it enables optimization of manufacturing parameters, planning of equipment ma…

cs.CV2020★ 47 cited

Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans

Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis +4

A common source of defects in manufacturing miniature Printed Circuits Boards (PCB) is the attachment of silicon die or other wire bondable components on a Liquid Crystal Polymer (…

cs.CY2019★ 22 cited

Blockchain 3.0 Smart Contracts in E-Government 3.0 Applications

Sofia Terzi, Konstantinos Votis, Dimitrios Tzovaras +2

The adoption of Information Communication Technologies (ICT) and Web 3.0 contributes to the e-government sector by transforming how public administrations provide advanced and inno…

cs.CL2018★ 1 cited

Image-based Natural Language Understanding Using 2D Convolutional Neural Networks

Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis +8

We propose a new approach to natural language understanding in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global…

cs.NI2018★ 39 cited

Admission and Congestion Control for 5G Network Slicing

Bin Han, Antonio De Domenico, Ghina Dandachi +6

Network Slicing has been widely accepted as essential feature of future 5th Generation (5G) mobile communication networks. Accounting the potentially dense demand of network slices…

cs.NI2013

Security for Smart Mobile Networks: The NEMESYS Approach

Erol Gelenbe, Gokce Gorbil, Dimitrios Tzovaras +4

The growing popularity of smart mobile devices such as smartphones and tablets has made them an attractive target for cyber-criminals, resulting in a rapidly growing and evolving m…

cs.NI2013★ 47 cited

NEMESYS: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem

Erol Gelenbe, Gokce Gorbil, Dimitrios Tzovaras +4

As a consequence of the growing popularity of smart mobile devices, mobile malware is clearly on the rise, with attackers targeting valuable user information and exploiting vulnera…