Comprehensive analysis of forest fire detection using deep learning models and conventional machine learning algorithms

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dc.contributor.authorKukuk, Süha Berk
dc.contributor.authorKilimci, Zeynep Hilal
dc.date.accessioned2025-02-09T14:33:05Z
dc.date.available2025-02-09T14:33:05Z
dc.date.issued2021
dc.departmentFakülteler, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümü
dc.description.abstractForest fire detection is a very challenging problem in the field of object detection. Fire detection-based image analysis have advantages such as usage on wide open areas, the possibility for operator to visually confirm presence, intensity and the size of the hazards, lower cost for installation and further exploitation. To overcome the problem of fire detection in outdoors, deep learning and conventional machine learning based computer vision techniques are employed to determine the fire detection when indoor fire detection systems are not capable. In this work, we propose a comprehensive analysis of forest fire detection using conventional machine learning algorithms, object detection techniques, deep and hybrid deep learning models. Experiment results demonstrate that convolutional neural networks outperform other methods with 99.32% of accuracy result.
dc.identifier.doi10.22399/ijcesen.950045
dc.identifier.endpage94
dc.identifier.issn2149-9144
dc.identifier.issue2
dc.identifier.startpage84
dc.identifier.urihttps://hdl.handle.net/11501/1742
dc.identifier.urihttps://doi.org/10.22399/ijcesen.950045
dc.identifier.volume7
dc.institutionauthorKukuk, Süha Berk
dc.institutionauthorid0000-0003-1651-2417
dc.language.isoen
dc.publisherİskender Akkurt
dc.relation.ispartofInternational Journal of Computational and Experimental Science and Engineering
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250209
dc.subjectForest Fire Detection
dc.subjectDeep Learning
dc.subjectMachine Learning
dc.subjectObject Detection
dc.subjectConvolutional Neural Networks
dc.titleComprehensive analysis of forest fire detection using deep learning models and conventional machine learning algorithms
dc.typeArticle

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