Evidence map›Paper›PMID 41274950›Full record

ArticleScientific reports2025

Deep learning for classifying quantum emission signals in WS

Hossein Najafzadeh, Zahra Raissi, Shole Golmohammady, Parivash Safari Kaji, Mahdad Esmaeili

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Hossein NajafzadehDepartment of Medical Bioengineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID http://orcid.org/0000-0001-7411-8480
Zahra RaissiDepartment of Computer Science, Paderborn University, Warburger Str. 100, 33098, Paderborn, Germany. zahra.raissi@uni-paderborn.de.ORCID http://orcid.org/0000-0002-9168-8212
Shole GolmohammadyPhysics Department, Iran University of Science and Technology, Tehran, Iran.ORCID http://orcid.org/0009-0001-6541-9932
Parivash Safari KajiDepartment of Physics, Urmia University, Urmia, Iran.
Mahdad EsmaeiliDepartment of Medical Bioengineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop and evaluate deep learning approaches for the classification of quantum emission signals from WS

Indexed as

Deep learningQuantum emissionQuantum sensingTransfer learningWS₂ monolayer

Identifiers

PMID41274950
PMCPMC12644458

What OpenQuestion holds

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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.