Finite State Machine Parsing for Internet Protocols: Faster Than You Think
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Year
: 2014DOI: 10.1109/PEOCO.2014.6814432
Keyword(s): building integrated photovoltaics,n invertors,n maximum power point trackers,n particle swarm optimisation,n power engineering computing,n search problems,n BIPV,n MPPT,n PV power plant,n building integrated PV,n energy yield,n inverters,n maximum power point tracker,n partial shading,n photovoltaic array,n photovoltaic system,n soft computing,n Arrays,n Artificial neural networks,n Inverters,n Maximum power point trackers,n Niobium
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Finite State Machine Parsing for Internet Protocols: Faster Than You Think
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| contributor author | Graham, Robert David | |
| contributor author | Johnson, Peter C. | |
| date accessioned | 2020-03-12T21:45:48Z | |
| date available | 2020-03-12T21:45:48Z | |
| date issued | 2014 | |
| identifier other | 6957302.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1059560?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Finite State Machine Parsing for Internet Protocols: Faster Than You Think | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8191123 | |
| subject keywords | building integrated photovoltaics | |
| subject keywords | n invertors | |
| subject keywords | n maximum power point trackers | |
| subject keywords | n particle swarm optimisation | |
| subject keywords | n power engineering computing | |
| subject keywords | n search problems | |
| subject keywords | n BIPV | |
| subject keywords | n MPPT | |
| subject keywords | n PV power plant | |
| subject keywords | n building integrated PV | |
| subject keywords | n energy yield | |
| subject keywords | n inverters | |
| subject keywords | n maximum power point tracker | |
| subject keywords | n partial shading | |
| subject keywords | n photovoltaic array | |
| subject keywords | n photovoltaic system | |
| subject keywords | n soft computing | |
| subject keywords | n Arrays | |
| subject keywords | n Artificial neural networks | |
| subject keywords | n Inverters | |
| subject keywords | n Maximum power point trackers | |
| subject keywords | n Niobium | |
| identifier doi | 10.1109/PEOCO.2014.6814432 | |
| journal title | ecurity and Privacy Workshops (SPW), 2014 IEEE | |
| filesize | 337377 | |
| citations | 2 |