stdClass Object
(
    [id] => 17967
    [paper_index] => 202510-01-024704
    [title] => SCIENTIFIC STUDY OF THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE MODELS IN PREDICTING FIRE HAZARDS IN PUBLIC BUILDINGS
    [description] => 
    [author] => A.N.Sodikov 
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => October
    [volume] => 11
    [issue] => 10
    [file] => fm/jpanel/upload/2025/October/202510-01-024704.pdf
    [abstract] => In this article, a preliminary assessment of fire hazards in public buildings is given.and the effectiveness of artificial intelligence (hereinafter - AI) models in the forecasting process. According to the results, the artificial neural network model increased accuracy by 22-25% compared to classical statistical regression models, and the speed of early risk detection by 30-35%. It has also been scientifically determined that the possibility of real-time analysis can reduce the impact of the human factor and accelerate the evacuation process.
    [keywords] => Fire Safety, Artificial Intelligence, Forecasting, Neural Network, Risk Analysis, Public Buildings, Modeling
    [doj] => 2025-10-31
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 111
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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