Evidence map›Paper›PMID 39374252›Full record

ArticlePloS one2024

Correlation Fuzzy measure of multivariate time series for signature recognition.

Jun Wu, Qingqing Wan, Zelin Zhang, Jinyu Xu, Wenming Cheng, Difang Chen, Xiao Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jun WuSchool of Mathematics, Physics and Optical Engineering, Hubei University of Automotive Technology, Shi Yan, CN.ORCID 0000-0002-2849-0342
Qingqing WanSchool of Mathematics, Physics and Optical Engineering, Hubei University of Automotive Technology, Shi Yan, CN.
Zelin ZhangSchool of Mathematics, Physics and Optical Engineering, Hubei University of Automotive Technology, Shi Yan, CN.
Jinyu XuSchool of Electrical and Information Engineering, Hubei University of Automotive Technology, Shi Yan, CN.
Wenming ChengSchool of Economics and Management, Hubei University of Automotive Technology, Shi Yan, CN.
Difang ChenSchool of Mathematics, Physics and Optical Engineering, Hubei University of Automotive Technology, Shi Yan, CN.
Xiao ZhouSchool of Mathematics, Physics and Optical Engineering, Hubei University of Automotive Technology, Shi Yan, CN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distinguishing different time series, which is determinant or stochastic, is an important task in signal processing. In this work, a correlation measure constructs Correlation Fuzzy Entropy (CFE) to discriminate Chaos and stochastic series. It can be employed to distinguish chaotic signals from ARIMA series with different noises. With specific embedding dimensions, we implemented the CFE features by analyzing two available online signature databases MCYT-100 and SVC2004. The accurate rates of the CFE-based models exceed 99.3%.

Indexed as

Fuzzy LogicAlgorithmsEntropyHumansMultivariate AnalysisSignal Processing, Computer-AssistedTime Factors

Identifiers

PMID39374252
PMCPMC11457994

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.