Parmiggiani, N., Bulgarelli, A., Ursi, A., Macaluso, A., Di Piano, A., Fioretti, V., . . . Pittori, C. (2023). A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System. The Astrophysical journal, 945(2), 106-117. https://doi.org/10.3847/1538-4357/acba0a
Citácia podle Chicago (17th ed.)Parmiggiani, N., et al. "A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System." The Astrophysical Journal 945, no. 2 (2023): 106-117. https://doi.org/10.3847/1538-4357/acba0a.
Citácia podľa MLA (8th ed.)Parmiggiani, N., et al. "A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System." The Astrophysical Journal, vol. 945, no. 2, 2023, pp. 106-117, https://doi.org/10.3847/1538-4357/acba0a.