Evidence map›Paper›PMID 38794112›Full record

ArticleSensors (Basel, Switzerland)2024

Artificial Intelligence and Deep Learning in Sensors and Applications.

Shyan-Ming Yuan, Zeng-Wei Hong, Wai-Khuen Cheng

Abstract readEditorial
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

3 authors.

Shyan-Ming YuanDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan.
Zeng-Wei HongDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.ORCID 0000-0002-5090-2788
Wai-Khuen ChengFaculty of Information and Communication Technology, Department of Computer Science, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia.ORCID 0000-0003-1707-0462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To effectively solve the increasingly complex problems experienced by human beings, the latest development trend is to apply a large number of different types of sensors to collect data in order to establish effective solutions based on deep learning and artificial intelligence [...].

Identifiers

PMID38794112
PMCPMC11125570

What OpenQuestion holds

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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.