ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH
Saved in:
| Main Author: | |
|---|---|
| Format: | masterThesis |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/140906/3/Loay_Shabaneh_Thesis_december_2018.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513397640396800 |
|---|---|
| author | unknown |
| author_facet | unknown |
| author_role | author |
| dc.creator.*.fl_str_mv | unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/140906/3/Loay_Shabaneh_Thesis_december_2018.pdf ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH. Masters thesis, King Fahd University of Petroleum and Minerals. |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/140906/ |
| dc.rights.none.fl_str_mv | cc_by_nc_nd info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| dc.type.none.fl_str_mv | Thesis NonPeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | KFUPM_29edcfeb501f6754a239c5bde32f0ae7 |
| identifier_str_mv | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH. Masters thesis, King Fahd University of Petroleum and Minerals. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::140906 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | cc_by_nc_nd |
| spelling | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACHComputerThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/140906/3/Loay_Shabaneh_Thesis_december_2018.pdf ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/140906/cc_by_nc_ndinfo:eu-repo/semantics/openAccess2020unknownoai::1409062019-11-01T17:44:34Z |
| spellingShingle | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH unknown Computer |
| status_str | publishedVersion |
| title | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| title_full | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| title_fullStr | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| title_full_unstemmed | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| title_short | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| title_sort | ROAD-SURFACE ANOMALY DETECTION USING SMARTPHONES: A DEEP LEARNING APPROACH |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/140906/3/Loay_Shabaneh_Thesis_december_2018.pdf |