Evidence map›Paper›PMID 39943575›Full record

ReviewSensors (Basel, Switzerland)2025

Acoustic Waves and Their Application in Modern Fire Detection Using Artificial Vision Systems: A Review.

Jacek Lukasz Wilk-Jakubowski, Valentyna Loboichenko, Mikhail Divizinyuk, Grzegorz Wilk-Jakubowski, Roman Shevchenko, Stefan Ivanov, Viktor Strelets

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. 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. Review
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.

Jacek Lukasz Wilk-JakubowskiDepartment of Information Systems, Kielce University of Technology, 7 Tysiąclecia Państwa Polskiego Ave., 25-314 Kielce, Poland.ORCID 0000-0003-1275-948X
Valentyna LoboichenkoDepartamento de Ingeniería Energética, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain.ORCID 0000-0001-5188-6479
Mikhail DivizinyukCenter for Information-analytical and Technical Support of Nuclear Power Facilities Monitoring of the National Academy of Sciences of Ukraine, 34A, Academician Palladin Ave, 03142 Kyiv, Ukraine.
Grzegorz Wilk-JakubowskiInstitute of Internal Security, Old Polish University of Applied Sciences, 49 Ponurego Piwnika Str., 25-666 Kielce, Poland.ORCID 0000-0002-3906-4103
Roman ShevchenkoScience and Innovation Center, National University of Civil Defence of Ukraine, 94 Chernyshevska Str., 61023 Kharkiv, Ukraine.
Stefan IvanovDepartment of Automation, Information and Control Systems, Technical University of Gabrovo, Hadji Dimitar 4, 5300 Gabrovo, Bulgaria.ORCID 0009-0004-4459-0353
Viktor StreletsInstitute of Public Administration and Research in Civil Protection, Vyshhorodska St., 21, 04074 Kyiv, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents information on the propagation patterns of acoustic waves and their practical application, in particular, in modern fire detection methods that use artificial vision systems and video cameras as intelligent sensors. In practice, the use of artificial intelligence allows the detection of flames in places where the use of typical sensors is impossible or severely limited. Such a system can work together with environmentally friendly acoustic flame extinguishing technology as a standalone platform, or it may cooperate with other modules, which is a new approach in the field of fire protection. An analysis shows that the presented eco-friendly methods outperform other methods, with many advantages. In the future, the acoustic method can be used for the monitoring and early detection of fires in factory buildings or objects of high cultural, religious, and historical value, while an acoustic extinguisher equipped with artificial vision systems can be successfully used to extinguish fires.

Indexed as

acoustic extinguisheracoustic wavecomputer visiondata processingelectrical engineeringfire safetymachine learningmathematical modelsecurity

Identifiers

PMID39943575
PMCPMC11820134

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.