"Comparing Supervised Machine-Learning Algorithms to Measure the Number of ..."

Juri Taborri et al. (2023)

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DOI: 10.1109/METROXRAINE58569.2023.10405783

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-16

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Juri Taborri, Daniele Melloni, Andrea Zingoni, Francesco Marcolin, Alessandro Bertoz, Marco Bordignon, Stefano Rossi:
Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments. MetroXRAINE 2023: 127-131

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