The Effectiveness of Utilizing Artificial Intelligence (AI)-Based Technologies and Applications in Improving Results for Arson Investigation

This article aimed to determine the effectiveness of (Machine Learning, Artificial Neural Networks, Pattern Recognition and Data Analysis, and Fire Dynamics Simulations) in improving the results of arson investigations in the United Arab Emirates (UAE). The research relied on the descriptive method. The study community consisted of all members of the teams specialized in fire investigations. The research sample was taken using a simple random method that included (74) individuals from the research community. The researcher relied on the questionnaire as the main instrument for collecting data from the study sample. The results of the study showed that artificial intelligence techniques (Machine Learning, Artificial Neural Networks, Pattern Recognition and Data Analysis, and Fire Dynamics Simulations) can be effective in improving the results of arson investigations. The study recommended providing training programs to investigators on how to make full use of AI techniques in the investigation process.

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Publication Details

Journal
Emirati Journal of Business Economics & Social Studies
Published
2025-06-17
DOI
https://doi.org/10.54878/gnywa790
Primary Topic
Geophysical Methods and Applications
Type
article
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article

The Effectiveness of Utilizing Artificial Intelligence (AI)-Based Technologies and Applications in Improving Results for Arson Investigation

Mahmud Alshahaat
Emirati Journal of Business Economics & Social Studies
Geophysical Methods and Applications
article

The Effectiveness of Utilizing Artificial Intelligence (AI)-Based Technologies and Applications in Improving Results for Arson Investigation

Mahmud Alshahaat
article en

Abstract

This article aimed to determine the effectiveness of (Machine Learning, Artificial Neural Networks, Pattern Recognition and Data Analysis, and Fire Dynamics Simulations) in improving the results of arson investigations in the United Arab Emirates (UAE). The research relied on the descriptive method. The study community consisted of all members of the teams specialized in fire investigations. The research sample was taken using a simple random method that included (74) individuals from the research community. The researcher relied on the questionnaire as the main instrument for collecting data from the study sample. The results of the study showed that artificial intelligence techniques (Machine Learning, Artificial Neural Networks, Pattern Recognition and Data Analysis, and Fire Dynamics Simulations) can be effective in improving the results of arson investigations. The study recommended providing training programs to investigators on how to make full use of AI techniques in the investigation process.

Emirati Journal of Business Economics & Social StudiesVol. 4(1)
Openalex Percentile: Top 83%
Geophysical Methods and Applications
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