Tensor-based analysis of eclectic-reported crowd accidents: An innovative retrospective methodology design study

It can be concluded that the new, seven-step, tensor-based data collection method improves the credibility value of individual information by more than 25 %. The impact of accident factors plays a key role in establishing risk factors and in the prevention of accidents. The tensor-based approach can be directly applied to record databases, enhance data provenance, and capture the temporal evolution of information.

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Publication Details

Journal
Heliyon
Published
2024-11-19
DOI
https://doi.org/10.1016/j.heliyon.2024.e40330
Citations
2
Primary Topic
Injury Epidemiology and Prevention
Type
article
Field-Weighted Citation Impact
1.09
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article

Tensor-based analysis of eclectic-reported crowd accidents: An innovative retrospective methodology design study

Arnold Őszi, Tibor Goda, Dóra Edelmann
2 citations
Heliyon
Injury Epidemiology and Prevention
1.09
article

Tensor-based analysis of eclectic-reported crowd accidents: An innovative retrospective methodology design study

Arnold Őszi, Tibor Goda, Dóra Edelmann
article en
2 citations

Abstract

It can be concluded that the new, seven-step, tensor-based data collection method improves the credibility value of individual information by more than 25 %. The impact of accident factors plays a key role in establishing risk factors and in the prevention of accidents. The tensor-based approach can be directly applied to record databases, enhance data provenance, and capture the temporal evolution of information.

HeliyonVol. 10(23)
Obuda University (HU)
Openalex Percentile: Top 19%
Injury Epidemiology and Prevention
1.09
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