Open AccessOn-Line non-intrusive Monitoring of Particulate Solid Materials in Gas Flowlines Using Acoustic Sensor and ML Techniques
Author(s) -
Kuda Tijjani Aminu,
Don McGlinchey
Publication year - 2020
Publication title -
international journal of advances in scientific research and engineering
Language(s) - English
Resource type - Journals
ISSN - 2454-8006
DOI - 10.31695/ijasre.2019.33670
Subject(s) - artificial neural network , microphone , acoustics , signal (programming language) , acoustic sensor , acoustic emission , particulates , mean squared error , signal processing , computer science , materials science , artificial intelligence , chemistry , mathematics , physics , computer hardware , digital signal processing , programming language , sound pressure , organic chemistry , statistics
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