29 citations · 30 across the 3 of their papers we have counts for
8 papers
Asynchronous Circuits as an Enabler of Scalable And Programmable Metasurfaces
Loukas Petrou, Petros Karousios, Julius Georgiou
Metamaterials and metasurfaces have given possibilities for manipulating electromagnetic (EM) waves that in the past would have seemed impossible. The majority of metasurface desig…
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications
Panagiotis G. Mousouliotis, Loukas P. Petrou
Recently, the field of deep learning has received great attention by the scientific community and it is used to provide improved solutions to many computer vision problems. Convolu…
A Framework of Transfer Learning in Object Detection for Embedded Systems
Ioannis Athanasiadis, Panagiotis Mousouliotis, Loukas Petrou
Transfer learning is one of the subjects undergoing intense study in the area of machine learning. In object recognition and object detection there are known experiments for the tr…
Fault Adaptive Routing in Metasurface Controller Networks
Taqwa Saeed, Constantinos Skitsas, Dimitrios Kouzapas +8
HyperSurfaces are a merge of structurally reconfigurable metasurfaces whose electromagnetic properties can be changed via a software interface, using an embedded miniaturized netwo…
Formal Verification of a Programmable Hypersurface
Panagiotis Kouvaros, Dimitris Kouzapas, Anna Philippou +3
A metasurface is a surface that consists of artificial material, called metamaterial, with configurable electromagnetic properties. This paper presents work in progress on the desi…
SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks
Panagiotis G. Mousouliotis, Loukas P. Petrou
Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition and…