Browsing Preprint by Author "Computer Science Department, Bina Nusantara University"

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Evaluation of Deep Learning Models for Detection of Indonesian Rupiah

Charleen, Charleen; Putra Kusuma, Gede (2024-04-27)

This study compares the performance of current object detection models, namely YOLOv7-tiny, YOLOv8n, and EfficientDetd0, using YOLOv5n as the baseline model in addressing the challenge of Rupiah banknote detection. The ...
Incorporating Transfer Learning Strategy for improving Semantic Segmentation of Epizootic Ulcerative Syndrome Disease Using Deep Learning Model

Anbang; Putra Kusuma, Gede (2024-03-23)

Automated fish disease detection can eliminate the need for manual labor and provides earlier detection of fish disease such as EUS (Epizootic Ulcerative Syndrome) before it further spreads throughout the water. One of ...

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