Session 22 overview: High-speed data converters: Data converters subcommittee
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: 2014DOI: 10.1109/iEECON.2014.6925876
Keyword(s): cellular automata,diseases,neural nets,patient monitoring,ANN,CA,GA,RMSE,SIER,artificial neural network,cellular automata model,dengue patient number,epidemic model,forecasting model,genetic algorithm,Automata,Computational modeling,Correlation,Educational institutions,Indexes,Lattices,Nickel,Cellular Automata,Dengue,Forecast,Genetic Algorithm,Neural Network,Predict
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Session 22 overview: High-speed data converters: Data converters subcommittee
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| contributor author | Wu, Jieh-Tsorng , Ryu, Seung-Tak | |
| date accessioned | 2020-03-12T19:32:12Z | |
| date available | 2020-03-12T19:32:12Z | |
| date issued | 2014 | |
| identifier other | 6757568.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/981003 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Session 22 overview: High-speed data converters: Data converters subcommittee | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8095440 | |
| subject keywords | cellular automata | |
| subject keywords | diseases | |
| subject keywords | neural nets | |
| subject keywords | patient monitoring | |
| subject keywords | ANN | |
| subject keywords | CA | |
| subject keywords | GA | |
| subject keywords | RMSE | |
| subject keywords | SIER | |
| subject keywords | artificial neural network | |
| subject keywords | cellular automata model | |
| subject keywords | dengue patient number | |
| subject keywords | epidemic model | |
| subject keywords | forecasting model | |
| subject keywords | genetic algorithm | |
| subject keywords | Automata | |
| subject keywords | Computational modeling | |
| subject keywords | Correlation | |
| subject keywords | Educational institutions | |
| subject keywords | Indexes | |
| subject keywords | Lattices | |
| subject keywords | Nickel | |
| subject keywords | Cellular Automata | |
| subject keywords | Dengue | |
| subject keywords | Forecast | |
| subject keywords | Genetic Algorithm | |
| subject keywords | Neural Network | |
| subject keywords | Predict | |
| identifier doi | 10.1109/iEECON.2014.6925876 | |
| journal title | olid-State Circuits Conference Digest of Technical Papers (ISSCC), 2014 IEEE International | |
| filesize | 2082802 | |
| citations | 0 |