Zobrazeno 1 - 10
of 10
pro vyhledávání: '"shahrzad Oveisi"'
Publikováno v:
Journal of Advances in Computer Engineering and Technology, Vol 6, Iss 3, Pp 187-200 (2020)
One of the key pillars of any operating system is its proper software performance. Software failure can have dangerous effects and consequences and can lead to adverse and undesirable events in the design or use phases. The goal of this study is to i
Externí odkaz:
https://doaj.org/article/c477e845d06044bc8ba302ea996dc9f2
Publikováno v:
Quality and Reliability Engineering International. 39:412-453
Publikováno v:
International Journal of Reliability, Risk and Safety: Theory and Application. 4:1-12
Publikováno v:
SSRN Electronic Journal.
Autor:
Mohammad Farsi, Shahrzad Oveisi
Publikováno v:
International Journal of Reliability, Risk and Safety: Theory and Application. :35-44
Software often controls the behavior of mechanical and electrical systems, as well as interactions among their components in cyber-physical systems (CPS). The risks in CPS systems could result in losing tools, features, performance, and even life. Th
Publikováno v:
Internet of Things. 11:100262
In today's highly competitive markets, organizations can create a competitive advantage through the successful implementation of Enterprise Resource Planning (ERP) systems. ERP works with different technologies, including the Internet of Things (IoT)
Autor:
Shahrzad Oveisi, Reza Ravanmehr
Publikováno v:
Journal of Computing and Information Science in Engineering. 17
The software is often responsible for controlling the behavior of mechanical and electrical components, as well as interactions among these components in cyber-physical systems (CPS). The risks in CPS systems could result in losing tools, features, p
Autor:
Shahrzad Oveisi, Reza Ravanmehr
Publikováno v:
International Journal of Critical Infrastructures. 13:1
The software-based systems, alone do not cause any risk; but the risk is posed when the software-based systems are considered in the context of general systems where potential risks or hazards exist. Cyber-physical systems are cited as instances of s
Publikováno v:
IEEE transactions on neural networks and learning systems. 23(1)
One of the most informative measures for feature extraction (FE) is mutual information (MI). In terms of MI, the optimal FE creates new features that jointly have the largest dependency on the target class. However, obtaining an accurate estimate of
Publikováno v:
Independent Component Analysis for Audio and Biosignal Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8029a2046eeee153b39aacea8d5bbf80
http://www.intechopen.com/articles/show/title/nonlinear-independent-component-analysis-for-eeg-based-brain-computer-interface-systems
http://www.intechopen.com/articles/show/title/nonlinear-independent-component-analysis-for-eeg-based-brain-computer-interface-systems