Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks

Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks

Natural disasters are events caused by nature such as earthquakes, tornadoes, tsunamis, forest fires, and others. The impacts of natural disasters are significant and varied across various sectors, including the economy, health, and primarily, infrastructure. Effective and efficient actions are nee...

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Bibliographic Details
Main Authors:	Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi
Format:	Article
Language:	English
Published:	LPPM STIKI Malang 2025-07-01
Series:	J-Intech (Journal of Information and Technology)
Subjects:	convolutional neural network machine learning segmentasi
Online Access:	https://jurnal.stiki.ac.id/J-INTECH/article/view/1919
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