Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning

A Master of Science thesis in Mechanical Engineering by Atheer Ghiath Aldbaisi entitled, “Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning”, submitted in March 2025. Thesis advisor is Dr. Bassam Abu-Nabah and thesis co-advisor is Dr. Maen Alkhader. Soft...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Aldbaisi, Atheer Ghiath (author)
التنسيق: doctoralThesis
منشور في: 2025
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/26152
الوسوم: إضافة وسم
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author Aldbaisi, Atheer Ghiath
author_facet Aldbaisi, Atheer Ghiath
author_role author
dc.contributor.none.fl_str_mv Abu-Nabah, Bassam
Alkhader, Maen
dc.creator.none.fl_str_mv Aldbaisi, Atheer Ghiath
dc.date.none.fl_str_mv 2025-06-25T07:54:23Z
2025-06-25T07:54:23Z
2025-03
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2025.14
https://hdl.handle.net/11073/26152
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Coating thickness
NDE
Eddy current
Artificial neural networks
Machine learning
dc.title.none.fl_str_mv Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechanical Engineering by Atheer Ghiath Aldbaisi entitled, “Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning”, submitted in March 2025. Thesis advisor is Dr. Bassam Abu-Nabah and thesis co-advisor is Dr. Maen Alkhader. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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identifier_str_mv 35.232-2025.14
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/26152
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine LearningAldbaisi, Atheer GhiathCoating thicknessNDEEddy currentArtificial neural networksMachine learningA Master of Science thesis in Mechanical Engineering by Atheer Ghiath Aldbaisi entitled, “Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning”, submitted in March 2025. Thesis advisor is Dr. Bassam Abu-Nabah and thesis co-advisor is Dr. Maen Alkhader. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Mechanical EngineeringMaster of Science in Mechanical Engineering (MSME)Abu-Nabah, BassamAlkhader, Maen2025-06-25T07:54:23Z2025-06-25T07:54:23Z2025-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2025.14https://hdl.handle.net/11073/26152en_USoai:repository.aus.edu:11073/261522025-06-26T12:25:37Z
spellingShingle Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
Aldbaisi, Atheer Ghiath
Coating thickness
NDE
Eddy current
Artificial neural networks
Machine learning
status_str publishedVersion
title Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
title_full Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
title_fullStr Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
title_full_unstemmed Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
title_short Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
title_sort Estimation of Metallic Coating Thicknesses Using Eddy Current Spectroscopy and Machine Learning
topic Coating thickness
NDE
Eddy current
Artificial neural networks
Machine learning
url https://hdl.handle.net/11073/26152