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Developing a Hybrid Machine Learning Model for VELO Upgrade Track Reconstruction
High energy physics experiments have been processing large quantities of data for decades. The growth of high volume data collection in industry has led to significant technical development in big data and machine learning due to their enormous commercial potential. This knowledge can be harnessed b...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2838196 |