A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures

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. In IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021, Glasgow, United Kingdom, May 17-20, 2021. pages 1-6, IEEE, 2021. [doi]

Abstract

Abstract is missing.