Academic Journal
A Fast Framework for Generating Radioactive Mixture Spectra and Its Application to Remote High-Performance Mixture Identification
| Τίτλος: | A Fast Framework for Generating Radioactive Mixture Spectra and Its Application to Remote High-Performance Mixture Identification |
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| Συγγραφείς: | Kwan, Chiman, Ayhan, Bulent, Stavola, Adam, Islam, Kazi Aminul, Zhang, Hongfang, Li, Jiang |
| Πηγή: | Electrical & Computer Engineering Faculty Publications |
| Στοιχεία εκδότη: | ODU Digital Commons |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | Old Dominion University: ODU Digital Commons |
| Θεματικοί όροι: | Algorithms, Binary mixtures, Civil service, Classification, Deep learning, Detectors, GADRAS, Gamma rays, Government employees, Identification, Irradiation, Isotopes, Machine learning, Mixtures, Nuclear energy, Nuclear power plants, Radiation, Radioactive isotopes, Radioactive substances, Radioactive tracers, Radioactive wastes, Remote detection, Remote sensing, Software, Spectra, Spectrum analysis, Uranium, Uranium analysis, Artificial Intelligence and Robotics, Materials Science and Engineering |
| Περιγραφή: | Remote detection of radioactive materials in mixtures using handheld or portal detectors remains a challenge because of factors such as low concentration, environmental interference, sensor noise, and other complications. This work introduces a fast framework for generating realistic mixture spectra. Moreover, we present mixture isotope identification using data generated by the fast framework. Researchers have examined a range of conventional and recent algorithms within the fields of machine learning and deep learning. An application to uranium enrichment-level prediction has been included. Extensive simulation experiments validated the efficacy of the proposed framework. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | unknown |
| Relation: | https://digitalcommons.odu.edu/ece_fac_pubs/538; https://digitalcommons.odu.edu/context/ece_fac_pubs/article/1548/viewcontent/Li_2025_AFastFrameworkforGeneratingRadioactiveMixtureSpectraOCR.pdf |
| DOI: | 10.3390/electronics14081688 |
| Διαθεσιμότητα: | https://digitalcommons.odu.edu/ece_fac_pubs/538 https://doi.org/10.3390/electronics14081688 https://digitalcommons.odu.edu/context/ece_fac_pubs/article/1548/viewcontent/Li_2025_AFastFrameworkforGeneratingRadioactiveMixtureSpectraOCR.pdf |
| Rights: | © 2025 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) License . |
| Αριθμός Καταχώρησης: | edsbas.AAF9C3AC |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.3390/electronics14081688 |
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