GSCA: Reconstructing biological pathway topologies using a cultural algorithms approach
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سال
: 2014شناسه الکترونیک: 10.1109/AUTEST.2014.6935172
کلیدواژه(گان): built-in self test,data compression,embedded systems,integrated circuit testing,microprocessor chips,ATPG,RDIS procedure,care bits,compression procedure,embedded processor memory,invertible sets,memory correction application,simple decompression program,software,test cube matrix,test vector compression,test vector decompression,Built-in self-test,Encoding,Radiation detectors,Software,Software algorithms,Vectors
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GSCA: Reconstructing biological pathway topologies using a cultural algorithms approach
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| date accessioned | 2020-03-12T23:35:39Z | |
| date available | 2020-03-12T23:35:39Z | |
| date issued | 2014 | |
| identifier other | 6900648.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1117260 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | GSCA: Reconstructing biological pathway topologies using a cultural algorithms approach | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8286990 | |
| subject keywords | built-in self test | |
| subject keywords | data compression | |
| subject keywords | embedded systems | |
| subject keywords | integrated circuit testing | |
| subject keywords | microprocessor chips | |
| subject keywords | ATPG | |
| subject keywords | RDIS procedure | |
| subject keywords | care bits | |
| subject keywords | compression procedure | |
| subject keywords | embedded processor memory | |
| subject keywords | invertible sets | |
| subject keywords | memory correction application | |
| subject keywords | simple decompression program | |
| subject keywords | software | |
| subject keywords | test cube matrix | |
| subject keywords | test vector compression | |
| subject keywords | test vector decompression | |
| subject keywords | Built-in self-test | |
| subject keywords | Encoding | |
| subject keywords | Radiation detectors | |
| subject keywords | Software | |
| subject keywords | Software algorithms | |
| subject keywords | Vectors | |
| identifier doi | 10.1109/AUTEST.2014.6935172 | |
| journal title | volutionary Computation (CEC), 2014 IEEE Congress on | |
| filesize | 2405851 | |
| citations | 0 | |
| contributor rawauthor | Judeh, T. , Jayyousi, T. , Acharya, L. , Reynolds, R.G. , Dongxiao Zhu |