Reducing the turn-on time and overshoot voltage for a diode-triggered silicon-controlled rectifier during an electrostatic discharge event
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: 2014DOI: 10.1109/IAdCC.2014.6779500
Keyword(s): cardiology,n diseases,n learning (artificial intelligence),n medical diagnostic computing,n neural nets,n optimisation,n patient diagnosis,n ABC algorithm,n GSO algorithm,n artificial bee colony,n artificial intelligence techniques,n disease diagnosis,n group search optimization,n heart disease detection,n hybrid algorithm,n neural network,n training procedure enhancement,n Artificial neural networks,n Diseases,n Heart,n Sociology
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Reducing the turn-on time and overshoot voltage for a diode-triggered silicon-controlled rectifier during an electrostatic discharge event
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| contributor author | Ginawi, A. | |
| contributor author | Tian Xia | |
| contributor author | Gauthier, R. | |
| date accessioned | 2020-03-12T21:36:11Z | |
| date available | 2020-03-12T21:36:11Z | |
| date issued | 2014 | |
| identifier other | 6948909.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1054211 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Reducing the turn-on time and overshoot voltage for a diode-triggered silicon-controlled rectifier during an electrostatic discharge event | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8184741 | |
| subject keywords | cardiology | |
| subject keywords | n diseases | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n medical diagnostic computing | |
| subject keywords | n neural nets | |
| subject keywords | n optimisation | |
| subject keywords | n patient diagnosis | |
| subject keywords | n ABC algorithm | |
| subject keywords | n GSO algorithm | |
| subject keywords | n artificial bee colony | |
| subject keywords | n artificial intelligence techniques | |
| subject keywords | n disease diagnosis | |
| subject keywords | n group search optimization | |
| subject keywords | n heart disease detection | |
| subject keywords | n hybrid algorithm | |
| subject keywords | n neural network | |
| subject keywords | n training procedure enhancement | |
| subject keywords | n Artificial neural networks | |
| subject keywords | n Diseases | |
| subject keywords | n Heart | |
| subject keywords | n Sociology | |
| identifier doi | 10.1109/IAdCC.2014.6779500 | |
| journal title | ystem-on-Chip Conference (SOCC), 2014 27th IEEE International | |
| filesize | 2861468 | |
| citations | 0 |