Failure prognosability of stochastic discrete event systems
نویسنده:
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/ICPR.2014.213
کلیدواژه(گان): Markov processes,biological tissues,biomedical ultrasonics,cancer,maximum likelihood estimation,medical image processing,ultrasonic imaging,Markov chain,breast cancer,breast ultrasound images,clinical dataset,lesion detection,likelihood estimation,tissue transition analysis,Breast,Cancer,Lesions,Markov processes,Medical diagnostic imaging,Ultrasonic imaging
کالکشن
:
-
آمار بازدید
Failure prognosability of stochastic discrete event systems
Show full item record
| contributor author | Jun Chen , Kumar, R. | |
| date accessioned | 2020-03-12T20:13:52Z | |
| date available | 2020-03-12T20:13:52Z | |
| date issued | 2014 | |
| identifier other | 6858775.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1006772 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Failure prognosability of stochastic discrete event systems | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8128338 | |
| subject keywords | Markov processes | |
| subject keywords | biological tissues | |
| subject keywords | biomedical ultrasonics | |
| subject keywords | cancer | |
| subject keywords | maximum likelihood estimation | |
| subject keywords | medical image processing | |
| subject keywords | ultrasonic imaging | |
| subject keywords | Markov chain | |
| subject keywords | breast cancer | |
| subject keywords | breast ultrasound images | |
| subject keywords | clinical dataset | |
| subject keywords | lesion detection | |
| subject keywords | likelihood estimation | |
| subject keywords | tissue transition analysis | |
| subject keywords | Breast | |
| subject keywords | Cancer | |
| subject keywords | Lesions | |
| subject keywords | Markov processes | |
| subject keywords | Medical diagnostic imaging | |
| subject keywords | Ultrasonic imaging | |
| identifier doi | 10.1109/ICPR.2014.213 | |
| journal title | merican Control Conference (ACC), 2014 | |
| filesize | 456973 | |
| citations | 0 |