Evidence map›Paper›PMID 35889356›Full record

ArticleMolecules (Basel, Switzerland)2022

Performance Improvement of NIR Spectral Pattern Recognition from Three Compensation Models' Voting and Multi-Modal Fusion.

Niangen Ye, Sheng Zhong, Zile Fang, Haijun Gao, Zhihua Du, Heng Chen, Lu Yuan, Tao Pan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 1 institution in 1 country.

Niangen YeDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Sheng ZhongDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Zile FangDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Haijun GaoDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Zhihua DuDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Heng ChenDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Lu YuanDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Tao PanDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Jinan University · CN

Funding

National Natural Science Foundation of China 61078040Science and Technology Project of Guangdong Province of China 2014A020212445Science and Technology Project of Guangdong Province of China 2014A020213016
6 · The paper itself

Abstract

Inspired by aquaphotomics, the optical path length of measurement was regarded as a perturbation factor. Near-infrared (NIR) spectroscopy with multi-measurement modals was applied to the discriminant analysis of three categories of drinking water. Moving window-

Indexed as

PoliticsSpectroscopy, Near-InfraredCluster AnalysisDiscriminant Analysismoving-window-k-nearest neighbormulti-optical-pathnear-infrared spectroscopic pattern recognitionNorris derivative filterthree-model voting fusiontwo-category priority’s compensation models

Identifiers

PMID35889356
PMCPMC9321551
OpenAlexW4285393310

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.