most citedA Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage

6 citations · 8 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG20222 cited

Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques

Konstantinos Kostinakis, Konstantinos Morfidis, Konstantinos Demertzis +1

Developing a rapid, but also reliable and efficient, method for classifying the seismic damage potential of buildings constructed in countries with regions of high seismicity is al…

cs.LG20226 cited

A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage

Konstantinos Demertzis, Konstantinos Kostinakis, Konstantinos Morfidis +1

Seismic assessment of buildings and determination of their structural damage is at the forefront of modern scientific research. Since now, several researchers have proposed a numbe…

cs.ET2021

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,…

cs.CR2021

Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework

Konstantinos Demertzis, Konstantinos Tsiknas, Dimitrios Takezis +2

Attackers are perpetually modifying their tactics to avoid detection and frequently leverage legitimate credentials with trusted tools already deployed in a network environment, ma…