Failure prognosability of stochastic discrete event systems
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?locale-attribute=fa&show=full | |
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 |
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