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[n] R. Bacher, “Improving Gesture Recognition with Machine Learning: A Comparison of Traditional Machine Learning and Deep Learning”, in Proc. ICALEPCS'19, New York, NY, USA, Oct. 2019, pp. 213. doi:10.18429/JACoW-ICALEPCS2019-MOPHA011
[n] R. Siemann, “B-Factories: A Perspective of B-Physics and Possible Accelerator Design Approaches”, in Proc. LINAC'88, Williamsburg, VA, USA, Oct. 1988, paper FR1-01, pp. 675-679.
[n] K. Kuzmin et al., “Modeling and Experimental Evaluation of a Bunch Arrival-Time Monitor with Rod-Shaped Pickups and a Low-Pi-Voltage Ultra-Wideband Traveling Wave Electro-Optic Modulator for X-Ray Free-Electron Lasers”, in Proc. IBIC'22, Kraków, Poland, Sep. 2022, pp. 447-450. doi:10.18429/JACoW-IBIC2022-WEP24
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References
- R. Bacher, “Improving Gesture Recognition with Machine Learning: A Comparison of Traditional Machine Learning and Deep Learning”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 213.
- R. Siemann, “B-Factories: A Perspective of B-Physics and Possible Accelerator Design Approaches”, in Proc. 1988 Linear Accelerator Conf. (LINAC'88), Williamsburg, VA, USA, Oct. 1988, paper FR1-01, pp. 675-679.
- K. Kuzmin et al., “Modeling and Experimental Evaluation of a Bunch Arrival-Time Monitor with Rod-Shaped Pickups and a Low-Pi-Voltage Ultra-Wideband Traveling Wave Electro-Optic Modulator for X-Ray Free-Electron Lasers”, in Proc. 11th Int. Beam Instrumentation Conference (IBIC'22), Kraków, Poland, Sep. 2022, pp. 447-450.
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