All these techniques require accurate capture of voltage emergencies through noise sensors. Although existing approaches have explored the optimal placement of ...
Specifically, the proposed method uses a limited number of noise samples obtained from power grid simulation to train GAN and extract critical features, from ...
[34] use a GAN to create noise maps from limited samples. These noise maps are fed into an optimization algorithm to find a placement for noise sensors. ...
As such, the threshold voltage for noise sensors to report emergencies serves as a critical tuning knob between the system failure rate and false alarms.
[34] use a GAN to create noise maps from limited samples. These noise maps are fed into an optimization algorithm to find a placement for noise sensors. ...
All these techniques require accurate capture of voltage emergencies through noise sensors. Although existing approaches have explored the optimal placement of ...
This work proposes integrated solutions to two important problems related to building a sensor-based voltage emergency detection system, respectively, ...
Co-authors ; Generative adversarial network based scalable on-chip noise sensor placement. J Liu, Y Ding, J Yang, U Schlichtmann, Y Shi. 2017 30th IEEE ...
The CycleGAN model is a type of generative adversarial network that can be typically used for many-to-many mapping of unpaired images in two image domains.
Missing: placement. | Show results with:placement.
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For this reason, we propose proposed an automated, data-driven approach for generating EM signals from machine code using Generative Adversarial Networks (GANs) ...