Publication Details
Journal: Central Asian Journal of Medical and Natural Science
Issue: Vol 6, No 1 (2024)
Pages: 129-136
ISSN: 2660-4159
Check on Google Scholar DOI: 10.51699/cajmns.v6i1.2679 Visit Article Page

Abstract

A Fire Alarm System is sensitive to smoke, fire, carbon monoxide (CO2), or general notification emergencies. This research paper, previous experimental data were collected to develop artificial intelligence (AI) models as an indicator of fire that detects smoke. Binary Classification 1 means Positive (fire), and zero means Not Positive (no fire). It was evaluated based on twelve input parameters related to indoor and outdoor environments. This task evaluated three different classifiers: Decision Tree Classifier (DTC), Random Forest Classifier (RFC), and Gradient Boosting Classifier (GBC). The results indicated that every model was giving 99.99% accuracy. A smoke detection device can be designed according to the highaccuracy AI models validated in the current study.

Keywords
Artificial Intelligence (AI) Sensor Fusion Smoke Detection Fire Alarm System Binary Classification
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