Leveraging machine learning for optimize predictive classification and scheduling E-Health traffic
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: 2014DOI: 10.1109/SOCPAR.2014.7008051
Keyword(s): Biological neural networks,Delay effects,Delays,Indium tin oxide,Neurons,Stability analysis,Stochastic processes,Ito',s isometry,Neural networks,global stability,mixed delays,quadratic mean almost peri-odic
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Leveraging machine learning for optimize predictive classification and scheduling E-Health traffic
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| contributor author | Kathuria, Madhumita , Gambhir, Sapna | |
| date accessioned | 2020-03-12T20:50:23Z | |
| date available | 2020-03-12T20:50:23Z | |
| date issued | 2014 | |
| identifier other | 6909132.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1027387?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Leveraging machine learning for optimize predictive classification and scheduling E-Health traffic | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8152490 | |
| subject keywords | Biological neural networks | |
| subject keywords | Delay effects | |
| subject keywords | Delays | |
| subject keywords | Indium tin oxide | |
| subject keywords | Neurons | |
| subject keywords | Stability analysis | |
| subject keywords | Stochastic processes | |
| subject keywords | Ito' | |
| subject keywords | s isometry | |
| subject keywords | Neural networks | |
| subject keywords | global stability | |
| subject keywords | mixed delays | |
| subject keywords | quadratic mean almost peri-odic | |
| identifier doi | 10.1109/SOCPAR.2014.7008051 | |
| journal title | ecent Advances and Innovations in Engineering (ICRAIE), 2014 | |
| filesize | 1656745 | |
| citations | 0 |