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[n] S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 886-888. doi:10.18429/JACoW-IPAC2024-MOPS69
[n] F. Poirier, C. Lassalle, D. Mateus, and J. Rioult, “First anomalies exploration from data mining and machine learning at the ARRONAX cyclotron C70XP”, in Proc. IPAC'23, Venice, Italy, May 2023, pp. 2273-2276. doi:10.18429/JACoW-IPAC2023-TUPM036
[n] D. Bogert, W. Fowler, S. Holmes, P. Martin, and T. Pawlak, “The Status of the Fermilab Main Injector Project”, in Proc. PAC'95, Dallas, TX, USA, May 1995, paper MPG01, pp. 391-395.
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References
- S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS69, pp. 886-888.
- F. Poirier, C. Lassalle, D. Mateus, and J. Rioult, “First anomalies exploration from data mining and machine learning at the ARRONAX cyclotron C70XP”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPM036, pp. 2273-2276.
- D. Bogert, W. Fowler, S. Holmes, P. Martin, and T. Pawlak, “The Status of the Fermilab Main Injector Project”, in Proc. 16th Particle Accelerator Conf. (PAC'95), Dallas, TX, USA, May 1995, paper MPG01, pp. 391-395.
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