Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Konstantinos Georgios Thanos"'
Autor:
Stelios C. A. Thomopoulos, Ioannis Stamatiou, Konstantinos Georgios Thanos, Pantelis Tzamalis, Vasileios Vlachos, Dimitris M. Kyriazanos, Ioannis Bothos, Sotirios Nikoletseas
Publikováno v:
2021 IEEE International Conference on Cyber Security and Resilience (CSR)
CSR
CSR
In this paper, we present a theoretical approach concerning the econometric modelling for the estimation of cyber-security risk, with the use of time-series analysis methods and alternatively with Machine Learning (ML) based, deep learning methodolog
Autor:
Stelios C. A. Thomopoulos, Georgios Pouraimis, Konstantinos-Georgios Thanos, Athanassios Grigoriadis
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII.
Social Engineering holds one of the most critical threats to public and private organizations. In this paper we focus on phishing threats by measuring the positive impact that awareness methods may provide to them in a long-term period to companies a
Autor:
Dimitris Zacharakis, Konstantinos Panou, Konstantinos Georgios Thanos, Stelios C. A. Thomopoulos, Constantinos Rizogannis, Konstantinos Dimitros
Publikováno v:
Business Information Systems Workshops ISBN: 9783030366902
BIS (Workshops)
BIS (Workshops)
Maritime Surveillance command and control (C2) systems play a crucial role in ensuring the marine traffic safety and maritime border security. Through efficient integration of various sources (UAV, aircrafts, GIS data) and legacy systems (e.g. AIS, R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24899a423fd72f7bdd76f55345031c48
https://doi.org/10.1007/978-3-030-36691-9_41
https://doi.org/10.1007/978-3-030-36691-9_41
Autor:
Katerina Skroumpelou, Stelios C. A. Thomopoulos, Dimitris M. Kyriazanos, Konstantinos-Georgios Thanos, Alkiviadis Astyakopoulos, Konstantinos Rizogiannis
Publikováno v:
SPIE Proceedings.
In this paper a solution is presented aiming to assist the early detection and localization of a fire incident by exploiting crowdsourcing and unofficial civilian online reports. It consists of two components: (a) the potential fire incident detectio
Autor:
Dimitris M. Kyriazanos, Constantinos Rizogiannis, Konstantinos Georgios Thanos, Alkiviadis Astyakopoulos, Stelios C. A. Thomopoulos
Publikováno v:
SPIE Proceedings.
The aim of this paper is to present the sensor monitoring and decision level fusion scheme for early fire detection which has been developed in the context of the AF3 Advanced Forest Fire Fighting European FP7 research project, adopted specifically i
Autor:
Konstantinos-Georgios Thanos, John M. A. Bothos, Stelios Daveas, Stelios C. A. Thomopoulos, Eirini Papadopoulou
Publikováno v:
SPIE Proceedings.
Agent-based crowd behaviour consists a significant field of research that has drawn a lot of attention in recent years. Agent-based crowd simulation techniques have been used excessively to forecast the behaviour of larger or smaller crowds in terms
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV.
wayGoo is a fully functional application whose main functionalities include content geolocation, event scheduling, and indoor navigation. However, significant information about events do not reach users’ attention, either because of the size of thi
Publikováno v:
SPIE Proceedings.
The study in this paper belongs to a more general research of discovering facial sub-clusters in different ethnicity face databases. These new sub-clusters along with other metadata (such as race, sex, etc.) lead to a vector for each face in the data
Autor:
Alhidaifi, Saleh Mohamed1 (AUTHOR) s.al-hidaifi.1@research.gla.ac.uk, Asghar, Muhammad Rizwan2 (AUTHOR) r.asghar@auckland.ac.nz, Ansari, Imran Shafique1 (AUTHOR) ansarimrans@gmail.com
Publikováno v:
ACM Computing Surveys. Aug2024, Vol. 56 Issue 8, p1-48. 48p.
Autor:
Stelios C. A. Thomopoulos, Dimitris M. Kyriazanos, Konstantinos Georgios Thanos, Constantinos Rizogiannis, John M. A. Bothos, Andreas Zalonis
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII
In this paper the architecture of an autonomous human behavior detection system is presented. The proposed system architecture is intended for Security and Safety surveillance systems that aim to identify adverse events or behaviors which endanger th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327105b8a08fabe0a6338761b15e9290