"A Machine-Learning Approach for the Prediction of Internal Corrosion in ..."

Giuseppe Canonaco et al. (2021)

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DOI: 10.1109/I2MTC50364.2021.9460039

access: closed

type: Conference or Workshop Paper

metadata version: 2021-07-06

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  - https://dblp.org/rec/conf/i2mtc/CanonacoRAPBCM21
Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini:
A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures. I2MTC 2021: 1-6

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