COMPARISON STUDY OF GAMMA RAY SPECTRUM IDENTIFICATION MODELS FOR BA133, CO60, CS137, AND NA22 USING YOU ONLY LOOK ONCE (YOLO) AND 1D CONVOLUTIONAL NEURAL NETWORK (1D CNN) METHODS
With advances in computational technology, the identification of Gamma Ray spectra has become faster and more accurate, allowing for efficient isotope analysis. This study aims to develop and evaluate deep learning models to identify Gamma Ray spectra from isotopes Ba133, Co60, Cs137, and Na22, a...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/83912 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |