Comparing Deep Learning Architectures On Gamma-Spectroscopy Analysis For Nuclear Waste Characterization
Neural networks, particularly deep neural networks, are used nowadays with great success in several tasks, such as image classification, image segmentation, translation, text to speech, speech to text, achieving super-human performance. In this study, we explore the capabilities of deep learning on...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2021-04-01
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| Serier: | Brazilian Journal of Radiation Sciences |
| Fag: | |
| Online adgang: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/1257 |
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