A Novel Approach for Disaster Victim Detection Under Debris Environments Using Decision Tree Algorithms With Deep Learning Features

Search and Rescue operations for victim identification in an unstructured collapsed building are high-risk and time-consuming. The possibility of saving a victim is high only during the first 48 hours, and then the prospect tends to zero. The faster the response and identification, the sooner the vi...

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Главные авторы:	G. Seeja, Arockia Selvakumar Arockia Doss, V. Berlin Hency
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2023-01-01
Серии:	IEEE Access
Предметы:	Search and rescue disaster victim detection collapsed building deep learning decision tree algorithms machine learning
Online-ссылка:	https://ieeexplore.ieee.org/document/10138573/
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