Class Weighting Approach For Handling Imbalanced Data On Forest Fire Classification Using EfficientNet-B1

Class Weighting Approach For Handling Imbalanced Data On Forest Fire Classification Using EfficientNet-B1

Wildfires pose significant threats to ecosystems and human safety, necessitating effective monitoring techniques. Detecting forest fires based on images of forest conditions could be a breakthrough. But, the model built from imbalanced data leads to low accuracy. This research addresses the challen...

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Bibliographic Details
Main Authors: Arvinanto Bahtiar, Muhammad Ihsan Prawira Hutomo, Agung Widiyanto, Siti Khomsah
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2025-01-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:
Image Classification
imbalanced data
EfficientNet-B1
Forest Fire detection
Online Access:https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4831
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