Bulgarelli, A.; Castaldini, L.; Parmiggiani, N.; Di Piano, A.; Falco, R.; Aboudan, A.; Amati, L.; Argan, A.; Calabretto, P.; Dadina, M.;
et al. Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations. Particles 2025, 8, 102.
https://doi.org/10.3390/particles8040102
AMA Style
Bulgarelli A, Castaldini L, Parmiggiani N, Di Piano A, Falco R, Aboudan A, Amati L, Argan A, Calabretto P, Dadina M,
et al. Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations. Particles. 2025; 8(4):102.
https://doi.org/10.3390/particles8040102
Chicago/Turabian Style
Bulgarelli, Andrea, Luca Castaldini, Nicolò Parmiggiani, Ambra Di Piano, Riccardo Falco, Alessio Aboudan, Lorenzo Amati, Andrea Argan, Paolo Calabretto, Mauro Dadina,
and et al. 2025. "Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations" Particles 8, no. 4: 102.
https://doi.org/10.3390/particles8040102
APA Style
Bulgarelli, A., Castaldini, L., Parmiggiani, N., Di Piano, A., Falco, R., Aboudan, A., Amati, L., Argan, A., Calabretto, P., Dadina, M., De Rosa, A., Fioretti, V., Labanti, C., Mattioli, G., Panebianco, G., Pittori, C., Rizzo, A., Srivastava, S., & Virgilli, E.
(2025). Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations. Particles, 8(4), 102.
https://doi.org/10.3390/particles8040102