6 papers
A Comprehensive Survey on Nanophotonics Neural Networks
Konstantinos Demertzis, Georgios Papadopoulos, Lazaros Iliadis +1
In the last years, materializations of neuromorphic circuits based on nanophotonic arrangements have been proposed, which contain complete optical circuits, laser, photodetectors,…
The electrostatic graph algorithm: a physics-defined method for converting a time-series into a weighted complex network
Dimitrios Tsiotas, Lykourgos Magafas, Panos Argyrakis
This paper proposes a new method for converting a time-series into a weighted graph (complex network), which builds on the electrostatic conceptualization originating from physics.…
Flattening the COVID-19 Curve: The "Greek" case in the Global Pandemic
Konstantinos Demertzis, Lykourgos Magafas, Dimitrios Tsiotas
The global crisis caused by the COVID-19 pandemic, in conjunction with the economic consequences and the collapse of health systems, has raised serious concerns in Europe, which is…
The use of scaling properties to detect relevant changes in financial time series: a new visual warning tool
Ioannis P. Antoniades, Giuseppe Brandi, L. G. Magafas +1
The dynamical evolution of multiscaling in financial time series is investigated using time-dependent Generalized Hurst Exponents (GHE), , for various values of the parameter…
Modeling and forecasting the COVID-19 temporal spread in Greece: an exploratory approach based on complex network defined splines
Konstantinos Demertzis, Dimitrios Tsiotas, Lykourgos Magafas
Within the complex framework of anti-COVID-19 health management, where the criteria of diagnostic testing, the availability of public-health resources and services, and the applied…
The effect of anti-COVID-19 policies to the evolution of the disease: A complex network analysis to the successful case of Greece
Dimitrios Tsiotas, Lykourgos Magafas
Within the context that Greece promises a success story in the fight against the disease, this paper proposes a novel method to study the evolution of the Greek COVID-19 infection-…