Evidence map›Paper›PMID 39103484›Full record

ArticleScientific reports2024

Attentive context and semantic enhancement mechanism for printed circuit board defect detection with two-stage and multi-stage object detectors.

Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Twahir KiobyaSchool of Computer Science and Technology, Donghua University, Shanghai, 201620, People's Republic of China.
Junfeng ZhouSchool of Computer Science and Technology, Donghua University, Shanghai, 201620, People's Republic of China. zhoujf@dhu.edu.cn.
Baraka MaiseliCollege of Information and Communication Technologies, University of Dar es Salaam, P. O. Box 33335, Dar es Salaam, Tanzania.
Maqbool KhanPak-Austria Fachhochschule-Institute of Applied Sciences and Technology, Mang, Haripur, 22621, Pakistan.

Funding

The Natural Science Foundation of China 61873337The Natural Science Foundation of China 62272097The Natural Science Foundation of China 62372101
6 · The paper itself

Abstract

Printed Circuit Boards (PCBs) are key devices for the modern-day electronic technologies. During the production of these boards, defects may occur. Several methods have been proposed to detect PCB defects. However, detecting significantly smaller and visually unrecognizable defects has been a long-standing challenge. The existing two-stage and multi-stage object detectors that use only one layer of the backbone, such as Resnet's third layer (

Indexed as

Context informationFeature fusionSemantic informationSqueeze and excitation

Identifiers

PMID39103484
PMCPMC11300800

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.