Interval state estimation for a hormone testosterone dynamics system in the presence of constant time delays and disturbances
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: 2014DOI: 10.1109/ICADIWT.2014.6814691
Keyword(s): computational complexity,n pattern classification,n principal component analysis,n text analysis,n vectors,n PCA,n computational complexity,n dimensionality reduction,n high performance hybrid algorithm,n k-nearest-neighbor algorithm,n kNN algorithm,n preprocessing phase,n principal component analysis,n text classification,n vectors,n Accuracy,n Algorithm design and analysis,n Classification algorithms,n Principal component analysis,n Supp
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Interval state estimation for a hormone testosterone dynamics system in the presence of constant time delays and disturbances
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contributor author | Kharkovskaia, Tatiana | |
contributor author | Gritsenko, Polina | |
contributor author | Kremlev, Artem | |
date accessioned | 2020-03-12T21:45:58Z | |
date available | 2020-03-12T21:45:58Z | |
date issued | 2014 | |
identifier other | 6957419.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1059673?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | Interval state estimation for a hormone testosterone dynamics system in the presence of constant time delays and disturbances | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8191247 | |
subject keywords | computational complexity | |
subject keywords | n pattern classification | |
subject keywords | n principal component analysis | |
subject keywords | n text analysis | |
subject keywords | n vectors | |
subject keywords | n PCA | |
subject keywords | n computational complexity | |
subject keywords | n dimensionality reduction | |
subject keywords | n high performance hybrid algorithm | |
subject keywords | n k-nearest-neighbor algorithm | |
subject keywords | n kNN algorithm | |
subject keywords | n preprocessing phase | |
subject keywords | n principal component analysis | |
subject keywords | n text classification | |
subject keywords | n vectors | |
subject keywords | n Accuracy | |
subject keywords | n Algorithm design and analysis | |
subject keywords | n Classification algorithms | |
subject keywords | n Principal component analysis | |
subject keywords | n Supp | |
identifier doi | 10.1109/ICADIWT.2014.6814691 | |
journal title | ethods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On | |
filesize | 2797781 | |
citations | 0 |