Development of a Multi-Sensor Fire Detector Based on Machine Learning Models [Makine Öǧrenmesi Modellerine Dayali Çok Sensörlö Bir Yangin Algilayicisi Geliştirilmesi]
Özet
This paper proposes a method to reduce false positive fire alarms by fusing data from different sensors using a specific machine learning model. We design an electronic circuit with 6 sensors to detect 7 physical sensory inputs. We experimentally collect
Bağlantı
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078344966&doi=10.1109%2fASYU48272.2019.8946446&partnerID=40&md5=9a1d6379f02734b0047efc465a132cachttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9786
Koleksiyonlar
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