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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Detaylı Bibliyografya
Asıl Yazarlar:	G. Seeja, Arockia Selvakumar Arockia Doss, V. Berlin Hency
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2023-01-01
Seri Bilgileri:	IEEE Access
Konular:	Search and rescue disaster victim detection collapsed building deep learning decision tree algorithms machine learning
Online Erişim:	https://ieeexplore.ieee.org/document/10138573/
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A Novel Approach for Disaster Victim Detection Under Debris Environments Using Decision Tree Algorithms With Deep Learning Features

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