Pipeline Inspection using Microwave Nondestructive Testing
A Master of Science thesis in Electrical Engineering by Ahmad Ghattas entitled, “Pipeline Inspection using Microwave Nondestructive Testing”, submitted in January 2025. Thesis advisor is Dr. Nasser Qaddoumi and thesis co-advisor is Dr. Amer Zakaria. Soft copy is available (Thesis, Completion Certifi...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | doctoralThesis |
| منشور في: |
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/26140 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513437210509312 |
|---|---|
| author | Ghattas, Ahmad |
| author_facet | Ghattas, Ahmad |
| author_role | author |
| dc.contributor.none.fl_str_mv | Qaddoumi, Nasser Zakaria, Amer |
| dc.creator.none.fl_str_mv | Ghattas, Ahmad |
| dc.date.none.fl_str_mv | 2025-06-19T07:07:35Z 2025-06-19T07:07:35Z 2025-01 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2025.02 https://hdl.handle.net/11073/26140 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Pipeline inspection Ka-band Microwave non-destructive testing Artificial neural networks Machine learning |
| dc.title.none.fl_str_mv | Pipeline Inspection using Microwave Nondestructive Testing |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Electrical Engineering by Ahmad Ghattas entitled, “Pipeline Inspection using Microwave Nondestructive Testing”, submitted in January 2025. Thesis advisor is Dr. Nasser Qaddoumi and thesis co-advisor is Dr. Amer Zakaria. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form) |
| format | doctoralThesis |
| id | aus_70b7c3f820afe4c5e2c3e513f70ff162 |
| identifier_str_mv | 35.232-2025.02 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/26140 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Pipeline Inspection using Microwave Nondestructive TestingGhattas, AhmadPipeline inspectionKa-bandMicrowave non-destructive testingArtificial neural networksMachine learningA Master of Science thesis in Electrical Engineering by Ahmad Ghattas entitled, “Pipeline Inspection using Microwave Nondestructive Testing”, submitted in January 2025. Thesis advisor is Dr. Nasser Qaddoumi and thesis co-advisor is Dr. Amer Zakaria. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form)College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Qaddoumi, NasserZakaria, Amer2025-06-19T07:07:35Z2025-06-19T07:07:35Z2025-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2025.02https://hdl.handle.net/11073/26140en_USoai:repository.aus.edu:11073/261402025-06-26T12:23:56Z |
| spellingShingle | Pipeline Inspection using Microwave Nondestructive Testing Ghattas, Ahmad Pipeline inspection Ka-band Microwave non-destructive testing Artificial neural networks Machine learning |
| status_str | publishedVersion |
| title | Pipeline Inspection using Microwave Nondestructive Testing |
| title_full | Pipeline Inspection using Microwave Nondestructive Testing |
| title_fullStr | Pipeline Inspection using Microwave Nondestructive Testing |
| title_full_unstemmed | Pipeline Inspection using Microwave Nondestructive Testing |
| title_short | Pipeline Inspection using Microwave Nondestructive Testing |
| title_sort | Pipeline Inspection using Microwave Nondestructive Testing |
| topic | Pipeline inspection Ka-band Microwave non-destructive testing Artificial neural networks Machine learning |
| url | https://hdl.handle.net/11073/26140 |