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Stopping criteria for ending autonomous, single detector radiological source searches
While the localization of radiological sources has traditionally been handled with statistical algorithms, such a task can be augmented with advanced machine learning methodologies. The combination of deep and reinforcement learning has provided learning-based navigation to autonomous, single-detect...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8211280/ https://ncbi.nlm.nih.gov/pubmed/34138929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0253211 |
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