Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mazen Azzam"'
Publikováno v:
IEEE Transactions on Control Systems Technology. 31:735-747
Attacks on Industrial Control Systems (ICS) can lead to significant physical damage. While offline safety and security assessments can provide insight into vulnerable system components, they may not account for stealthy attacks designed to evade anom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40cabf005cb069680b1e76f31423059d
https://doi.org/10.1109/tcst.2022.3196809
https://doi.org/10.1109/tcst.2022.3196809
Cyberattacks against Industrial Control Systems (ICS) can have harmful physical impacts. Investigating such attacks can be difficult, as evidence could be lost to physical damage. This is especially true with stealthy attacks; i.e., attacks that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d4dd1ce804466d139587b0e0950ae4
Stealthy attacks on Industrial Control Systems can cause significant damage while evading detection. In this paper, instead of focusing on the detection of stealthy attacks, we aim to provide early warnings to operators, in order to avoid physical da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::007e33c8d09d0c5bced6eb87aedd04f9
http://arxiv.org/abs/2106.07980
http://arxiv.org/abs/2106.07980
Publikováno v:
CEC
This paper describes the methodology used to design a NO x predictive emissions monitoring system (PEMS) based on an artificial neural network (ANN). To find the optimal ANN architecture, a QGA-based search was performed over the set of possible mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1a0944090be7bcc4ba870e9b741e38b
https://doi.org/10.1109/cec48606.2020.9185508
https://doi.org/10.1109/cec48606.2020.9185508
Autor:
Mazen Azzam, Mohammad N. Ahmad, Witold Kwapinski, Nicolas Abdel Karim Aramouni, Joseph Zeaiter, Mariette Awad
Publikováno v:
Energy Conversion and Management. 157:146-156
Artificial neural networks (ANN’s) have been used to optimize the performance of a dry reformer with catalyst sintering taken into account. In particular, we study the effects of temperature, pressure and catalyst diameter on the methane and CO2 co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::addcdf1625ed0cf6c6e8f2ea0eefb850
https://doi.org/10.1016/j.enconman.2017.11.089
https://doi.org/10.1016/j.enconman.2017.11.089
Publikováno v:
Journal of Environmental Chemical Engineering. 6:1044-1052
Evolutionary artificial neural networks and support vector machines were investigated for the modeling of NOx emissions from gas turbines. For ANN’s, a genetic algorithm (GA) with indirect binary encoding was employed to obtain optimal multi-layer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f48d715c407d4023202af55b761b2585
https://doi.org/10.1016/j.jece.2018.01.020
https://doi.org/10.1016/j.jece.2018.01.020