Effects of Germanium mole fraction variation at the source of a dielectrically modulated Tunneling FET based biosensor
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: 2014DOI: 10.1109/WAC.2014.6936121
Keyword(s): data structures,electricity supply industry,neural nets,power consumption,power engineering computing,ANN,Turkey',s electricity consumption forecasting tool,artificial neural networks,data structure,nonlinear relation,Artificial intelligence,Artificial neural networks,Economic indicators,ANN,Prediction,Turkey',s electricity consumption
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Effects of Germanium mole fraction variation at the source of a dielectrically modulated Tunneling FET based biosensor
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| contributor author | Kanungo, S. | |
| contributor author | Gupta, P.S. | |
| contributor author | Rhaman, H. | |
| date accessioned | 2020-03-12T21:08:13Z | |
| date available | 2020-03-12T21:08:13Z | |
| date issued | 2014 | |
| identifier other | 6926218.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1038254?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Effects of Germanium mole fraction variation at the source of a dielectrically modulated Tunneling FET based biosensor | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8164779 | |
| subject keywords | data structures | |
| subject keywords | electricity supply industry | |
| subject keywords | neural nets | |
| subject keywords | power consumption | |
| subject keywords | power engineering computing | |
| subject keywords | ANN | |
| subject keywords | Turkey' | |
| subject keywords | s electricity consumption forecasting tool | |
| subject keywords | artificial neural networks | |
| subject keywords | data structure | |
| subject keywords | nonlinear relation | |
| subject keywords | Artificial intelligence | |
| subject keywords | Artificial neural networks | |
| subject keywords | Economic indicators | |
| subject keywords | ANN | |
| subject keywords | Prediction | |
| subject keywords | Turkey' | |
| subject keywords | s electricity consumption | |
| identifier doi | 10.1109/WAC.2014.6936121 | |
| journal title | evices, Circuits and Systems (ICDCS), 2014 2nd International Conference on | |
| filesize | 681488 | |
| citations | 0 |