Empirical mode decomposition and k-nearest embedding vectors for timely analyses of antibiotic resistance trends.
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Big data - smart health strategies. Findings from the yearbook 2014 special themeIdentification of under-detected periodicity in time-series microarray data by using empirical mode decompositionForecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization.
P2860
Empirical mode decomposition and k-nearest embedding vectors for timely analyses of antibiotic resistance trends.
description
2013 nî lūn-bûn
@nan
2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Empirical mode decomposition a ...... antibiotic resistance trends.
@ast
Empirical mode decomposition a ...... antibiotic resistance trends.
@en
Empirical mode decomposition a ...... antibiotic resistance trends.
@nl
type
label
Empirical mode decomposition a ...... antibiotic resistance trends.
@ast
Empirical mode decomposition a ...... antibiotic resistance trends.
@en
Empirical mode decomposition a ...... antibiotic resistance trends.
@nl
prefLabel
Empirical mode decomposition a ...... antibiotic resistance trends.
@ast
Empirical mode decomposition a ...... antibiotic resistance trends.
@en
Empirical mode decomposition a ...... antibiotic resistance trends.
@nl
P2860
P1433
P1476
Empirical mode decomposition a ...... antibiotic resistance trends.
@en
P2860
P304
P356
10.1371/JOURNAL.PONE.0061180
P407
P577
2013-04-25T00:00:00Z