Hyperparameters characteristics.

<div><p>Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. Existing deep learning-based object detectors fall short of...

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Bibliographic Details
Main Author:	Md. Shafak Shahriar Sozol (21212880) (author)
Other Authors:	M. Rubaiyat Hossain Mondal (8415447) (author), Achmad Husni Thamrin (21212883) (author)
Published:	2025
Subjects:	Medicine Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified including faster r href =" mailto existing deep learning traditional detection techniques provide visual explanations proposed model achieved slow response time div >< p actual fire hazards smoke detection based research combined yolov5 smoke detection model predictions model optimized use smoke time monitoring testing samples study aimed smoke images provide real prospective scenarios optimized yolov5 indoor settings indoor fire improved accuracy genetic algorithm future developments fire progression false positives ensuring safety ensuring interpretability dynamic nature cam technique art models also used 1 %, 000 images
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Hyperparameters characteristics.

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