A step towards the live identification of pipe obstructions with the use of passive acoustic emission and supervised machine learning
Author:
Funder
University of Birmingham
Publisher
Elsevier BV
Subject
Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering
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