Evidence map›Paper›PMID 36685460›Full record

ArticleHeliyon2023

Automated identification and assessment of environmental noise sources.

Jure Murovec, Luka Čurović, Anže Železnik, Jurij Prezelj

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. Dynamic Schwarz Meta-Foams: Customizable Solutions for Environmental Noise Reduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jure MurovecFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, 1000, Ljubljana, Slovenia.
Luka ČurovićFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, 1000, Ljubljana, Slovenia.
Anže ŽeleznikFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, 1000, Ljubljana, Slovenia.
Jurij PrezeljFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, 1000, Ljubljana, Slovenia.
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noise pollution is one of the major health risks in urban life. The approach to measurement and identification of noise sources needs to be improved and enhanced to reduce high costs. Long measurement times and the need for expensive equipment and trained personnel must be automated. Simplifying the identification of main noise sources and excluding residual and background noise allows more effective measures. By spatially filtering the acoustic scene and combining unsupervised learning with psychoacoustic features, this paper presents a prototype system capable of automated calculation of the contribution of individual noise sources to the total noise level. Pilot measurements were performed at three different locations in the city of Ljubljana, Slovenia. Equivalent sound pressure levels obtained with the device were compared to the results obtained by manually marking individual parts of each of the three measurements. The proposed approach correctly identified the main noise sources in the vicinity of the measurement points.

Indexed as

Automatization of measurementsEnvironmental noiseImmission directivityMicrophone arrayNoise source classificationSpatial filtering

Identifiers

PMID36685460
PMCPMC9852937
OpenAlexW4313829706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.