Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Łukasz Szklarski"'
Autor:
Łukasz Szklarski
Publikováno v:
Journal of Modern Science, Vol 56, Iss 2, Pp 437-464 (2024)
Objectives The article includes a systemic analysis of Poland's potential and response capabilities to chemical, biological, radiological and nuclear (CBRN) threats. As a result of the conducted research, the dominant threats, technological resources
Externí odkaz:
https://doaj.org/article/06f57269362740ce8c299ecf6a5bf7cf
Autor:
Paweł Gromek, Łukasz Szklarski
Publikováno v:
Journal of Modern Science, Vol 53, Iss 4, Pp 362-390 (2023)
Objective: The research objective is to indicate current priorities of the European Commission in funding modern technologies that enhance situational awareness and preparedness for CBRN events in urban areas. Methods: We analysed strategic documents
Externí odkaz:
https://doaj.org/article/5da4dd1db2674d64b3fc5e6ce0632199
Autor:
Luis Patino, Michael Hubner, Rachel King, Martin Litzenberger, Laure Roupioz, Kacper Michon, Łukasz Szklarski, Julian Pegoraro, Nikolai Stoianov, James Ferryman
Publikováno v:
Sensors, Vol 22, Iss 19, p 7351 (2022)
Wide area surveillance has become of critical importance, particularly for border control between countries where vast forested land border areas are to be monitored. In this paper, we address the problem of the automatic detection of activity in for
Externí odkaz:
https://doaj.org/article/d87fc93ed8664448b99244ea1fbc708c
Autor:
Małgorzata Gawlik-Kobylińska, Grzegorz Gudzbeler, Łukasz Szklarski, Norbert Kopp, Helge Koch-Eschweiler, Mariusz Urban
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10308 (2021)
Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to p
Externí odkaz:
https://doaj.org/article/2658fc00490c47e9a178ef1c764421c3
Autor:
Łukasz Szklarski
Publikováno v:
Zeszyty Naukowe SGSP. 2:142-160
Zagadnienie ochrony przed czynnikami CBRN wpisuje się bezpośrednio w przedmiot badań realizowanych w naukach o bezpieczeństwie. Skrót CBRN oznacza Chemiczne, Biologiczne, Radiologiczne i Nuklearne zagrożenia zarówno w kontekście wypadków prz
Publikováno v:
Zeszyty Naukowe SGSP. 1:175-197
Current CBRNe detection systems are mainly available as standalone detectors, and seldom offer the potential of networking and data fusion. The research objective is to simulate the scenario-based models built in a virtual environment to examine the
Autor:
Ferryman, Luis Patino, Michael Hubner, Rachel King, Martin Litzenberger, Laure Roupioz, Kacper Michon, Łukasz Szklarski, Julian Pegoraro, Nikolai Stoianov, James
Publikováno v:
Sensors; Volume 22; Issue 19; Pages: 7351
Wide area surveillance has become of critical importance, particularly for border control between countries where vast forested land border areas are to be monitored. In this paper, we address the problem of the automatic detection of activity in for
Autor:
Marcin Kowalski, Valeria Chiesa, Łukasz Szklarski, Jonathan Boyle, Patryk Maik, Chiara Galdi, Christof Kauba, Bernhard Prommegger, Kacper Michoń, Jean-Luc Dugelay, James Ferryman, Michael Linortner, Simon Kirchgasser, Andreas Uhl, Luca Debiasi, Lulu Chen, Luis Patino, Artur Grudzień, Ana F. Sequeira
Publikováno v:
IET Biometrics. 9:297-308
PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT is an EU project funded by the Horizon 2020 research and Innovation Programme. The main aim of PROTECT was to build an advanced biometric-based person identification system that works robu
Autor:
Grzegorz Gudzbeler, Norbert Kopp, Mariusz Urban, Małgorzata Gawlik-Kobylińska, Helge Koch-Eschweiler, Łukasz Szklarski
Publikováno v:
Applied Sciences
Volume 11
Issue 21
Applied Sciences, Vol 11, Iss 10308, p 10308 (2021)
Volume 11
Issue 21
Applied Sciences, Vol 11, Iss 10308, p 10308 (2021)
Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to p
Publikováno v:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI.
State-of-the-art CBRNe detection systems are predominantly available as standalone detectors, rarely offering the potential of networking and data fusion. This paper presents a novel CBRNe detection and identification system based on the network of h