Energy-Efficient Radioisotope Identification Using Spiking Neuromorphic Systems

Συγγραφείς: Wang, F., Plagge, M., Ho, Y., Krygier, M.C., Vineyard, C.M., Hill, A.J.

Πηγή: IEEE Transactions on Nuclear Science IEEE Trans. Nucl. Sci. Nuclear Science, IEEE Transactions on. 73(5):1888-1901 May, 2026

High-Performance Remote Radioactive Material Identification of Mixtures

Συγγραφείς: Ayhan, B., Kwan, C., Islam, K.A., Stavola, A., Hendry, S., Li, J.

Πηγή: IEEE Transactions on Nuclear Science IEEE Trans. Nucl. Sci. Nuclear Science, IEEE Transactions on. 69(1):86-97 Jan, 2022

Open-Source Optimization of Hybrid Monte Carlo Methods for Fast Response Modeling of NaI (Tl) and HPGe Gamma Detectors

Συγγραφείς: Matthew Niichel, Stylianos Chatzidakis

Πηγή: Journal of Nuclear Engineering, Vol 5, Iss 3, Pp 274-298 (2024)
Journal of Nuclear Engineering
Volume 5
Issue 3
Pages: 274-298

Θεματικοί όροι: Physics - Instrumentation and Detectors, Nuclear Theory, HPGe detectors, TK9001-9401, detection, FOS: Physical sciences, hybrid Monte Carlo, Instrumentation and Detectors (physics.ins-det), 7. Clean energy, GADRAS, radiation, Nuclear Theory (nucl-th), transport code, MCNP, Nuclear engineering. Atomic power, NaI detectors

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2406.12903
https://doaj.org/article/cea5a2316be34e8bab13cbf5275a2200

A Fast Framework for Generating Radioactive Mixture Spectra and Its Application to Remote High-Performance Mixture Identification

Συγγραφείς: Kwan, Chiman, Ayhan, Bulent, Stavola, Adam, Islam, Kazi Aminul, Zhang, Hongfang, Li, Jiang

Πηγή: Electrical & Computer Engineering Faculty Publications

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 αρχείου: application/pdf

Relation: https://digitalcommons.odu.edu/ece_fac_pubs/538; https://digitalcommons.odu.edu/context/ece_fac_pubs/article/1548/viewcontent/Li_2025_AFastFrameworkforGeneratingRadioactiveMixtureSpectraOCR.pdf

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

Spectral Advanced Radiological Computer System Applications

Συνεισφορές: Salceda, Rica [National Security Technologies, LLC. (NSTec), Mercury, NV (United States), Remote Sensing Lab (RSL) - Andrews, Andrews AFB, MD]

Πηγή: Conference: Extended Summary, presented at 2015 American Nuclear Society (ANS) Winter Meeting and Nuclear Technology Expo – “Nuclear: The Foundation of Sensible Policy for Energy, Economy and the Environment,” Washington, DC, November 8 – 12, 2015.

Περιγραφή αρχείου: Medium: ED

Σύνδεσμος πρόσβασης: http://www.osti.gov/scitech/servlets/purl/1334672

Spectral Advanced Radiological Computer System Applications

Συνεισφορές: Salcedo, Rica [National Security Technologies, LLC. (NSTec), Mercury, NV (United States), Remote Sensing Lab (RSL)-Andrews, Andrews AFB, MD]

Πηγή: Conference: 2015 American Nuclear Society (ANS) Winter Meeting and Nuclear Technology Expo - "Nuclear: The Foundation of Sensible Policy for Energy, Economy and the Environment," Washington, DC, November 8 - 12, 2015.

Περιγραφή αρχείου: Medium: ED

Σύνδεσμος πρόσβασης: http://www.osti.gov/scitech/servlets/purl/1334618

New Results on Radioactive Mixture Identification and Relative Count Contribution Estimation

Συγγραφείς: Bulent Ayhan, Chiman Kwan

Πηγή: Sensors, Vol 21, Iss 4155, p 4155 (2021)

Θεματικοί όροι: nuclear isotopes, mixtures, remote detection, deep learning, GADRAS, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/21/12/4155; https://doaj.org/toc/1424-8220; https://doaj.org/article/0f2dad6702f44aa69defccdc06a88e06

Διαθεσιμότητα: https://doi.org/10.3390/s21124155
https://doaj.org/article/0f2dad6702f44aa69defccdc06a88e06

Minimum Resolution Requirements for Gamma Identification Algorithms

Συγγραφείς: Ash, Alexis Marie

Συνεισφορές: Marianno, Craig, Ford, John, Castillo, Jasen

Θεματικοί όροι: minimum, resolution, GADRAS, GammaVision, Genie, NaI, HEU, template matching, interfering photopeaks, suboptimal

Περιγραφή αρχείου: application/pdf

Relation: https://hdl.handle.net/1969.1/197196

Διαθεσιμότητα: https://hdl.handle.net/1969.1/197196

[Poster]

Διαθεσιμότητα: http://data.europeana.eu/aggregation/europeana/180/10622_F52B9F39_8DDD_4584_851C_B7E214C4C6D5_cho
http://data.europeana.eu/item/180/10622_F52B9F39_8DDD_4584_851C_B7E214C4C6D5_cho