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On-Site Gamma-Hadron Separation with Deep Learning on FPGAs.

, , , , and . ECML/PKDD (4), volume 12460 of Lecture Notes in Computer Science, page 478-493. Springer, (2020)

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Challenges in Particle and Astroparticle Physics., , , , and . Mach. Learn. under Resour. Constraints Vol. 2 (2), De Gruyter, (2022)Konfliktfeld Kleinbetrieb. Mittelstand zwischen Alleinherrschaft und Mitbestimmung, and . Bund-Verlag, Frankfurt am Main, (2004)The IceProd Framework: Distributed Data Processing for the IceCube Neutrino Observatory., , , , , , , , , and 277 other author(s). CoRR, (2013)Deep Learning Applications., , , , , and . Mach. Learn. under Resour. Constraints Vol. 2 (2), De Gruyter, (2022)Discovering Neutrinos Through Data Analytics., , , and . ECML/PKDD (3), volume 9286 of Lecture Notes in Computer Science, page 208-212. Springer, (2015)A Data Science Perspective on Deconvolution., , , , and . GI-Jahrestagung, volume P-294 of LNI, page 279-280. GI, (2019)Improvements in charged lepton and photon propagation for the software PROPOSAL., , , , , , , , and . Comput. Phys. Commun., (2024)Data compression for the first G-APD Cherenkov Telescope., , , , , , , , , and 20 other author(s). Astron. Comput., (2015)Online Analysis of High-Volume Data Streams in Astroparticle Physics., , , , , , and . ECML/PKDD (3), volume 9286 of Lecture Notes in Computer Science, page 100-115. Springer, (2015)Unification of Deconvolution Algorithms for Cherenkov Astronomy., , , , and . DSAA, page 21-30. IEEE, (2018)