Classification of corrosion severity levels from acoustic emission data using machine learning

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Bibliographic Details
Main Author: Karamudin, Muhd Ameerudin
Format: Final Year Project
Published: 2024
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/28702/
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id oai:utpedia.utp.edu.my:28702
record_format eprints
spelling oai:utpedia.utp.edu.my:287022024-08-08T09:33:17Z http://utpedia.utp.edu.my/id/eprint/28702/ Classification of corrosion severity levels from acoustic emission data using machine learning Karamudin, Muhd Ameerudin TK Electrical engineering. Electronics Nuclear engineering 2024-05 Final Year Project NonPeerReviewed Karamudin, Muhd Ameerudin (2024) Classification of corrosion severity levels from acoustic emission data using machine learning. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Karamudin, Muhd Ameerudin
Classification of corrosion severity levels from acoustic emission data using machine learning
format Final Year Project
author Karamudin, Muhd Ameerudin
author_facet Karamudin, Muhd Ameerudin
author_sort Karamudin, Muhd Ameerudin
title Classification of corrosion severity levels from acoustic emission data using machine learning
title_short Classification of corrosion severity levels from acoustic emission data using machine learning
title_full Classification of corrosion severity levels from acoustic emission data using machine learning
title_fullStr Classification of corrosion severity levels from acoustic emission data using machine learning
title_full_unstemmed Classification of corrosion severity levels from acoustic emission data using machine learning
title_sort classification of corrosion severity levels from acoustic emission data using machine learning
publishDate 2024
url http://utpedia.utp.edu.my/id/eprint/28702/
_version_ 1807051994229112832
score 13.214268