Screening criteria applied for the study selection process.
<p>Screening criteria applied for the study selection process.</p>
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2025
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| _version_ | 1852022216943730688 |
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| author | Yong Lin Lai (20854961) |
| author2 | Tan Fong Ang (20854964) Uzair Aslam Bhatti (8934479) Chin Soon Ku (19648517) Qi Han (499168) Lip Yee Por (19648514) |
| author2_role | author author author author author |
| author_facet | Yong Lin Lai (20854961) Tan Fong Ang (20854964) Uzair Aslam Bhatti (8934479) Chin Soon Ku (19648517) Qi Han (499168) Lip Yee Por (19648514) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yong Lin Lai (20854961) Tan Fong Ang (20854964) Uzair Aslam Bhatti (8934479) Chin Soon Ku (19648517) Qi Han (499168) Lip Yee Por (19648514) |
| dc.date.none.fl_str_mv | 2025-03-10T17:36:20Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0317306.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Screening_criteria_applied_for_the_study_selection_process_/28567979 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Sociology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified underwater image enhancement underwater image degradation marine resource surveying underlying degradation processes enhancing underwater images color correction methods based methods focus review findings serve reduce computational complexity including algorithmic limitations challenges persist across based methods aim based methods computational complexity physical processes enhanced images time applications three groups target monitoring review consolidates presenting challenges practical use physical models physical model objective detection numerous applications light attenuation leveraging data learn mappings latest advancements large datasets future research driven approaches deep learning data dependency current knowledge core objectives autonomous navigation |
| dc.title.none.fl_str_mv | Screening criteria applied for the study selection process. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Screening criteria applied for the study selection process.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_6f577ab8db24e70d58eb3b1a4bbb08ee |
| identifier_str_mv | 10.1371/journal.pone.0317306.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28567979 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Screening criteria applied for the study selection process.Yong Lin Lai (20854961)Tan Fong Ang (20854964)Uzair Aslam Bhatti (8934479)Chin Soon Ku (19648517)Qi Han (499168)Lip Yee Por (19648514)MedicineSociologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedunderwater image enhancementunderwater image degradationmarine resource surveyingunderlying degradation processesenhancing underwater imagescolor correction methodsbased methods focusreview findings servereduce computational complexityincluding algorithmic limitationschallenges persist acrossbased methods aimbased methodscomputational complexityphysical processesenhanced imagestime applicationsthree groupstarget monitoringreview consolidatespresenting challengespractical usephysical modelsphysical modelobjective detectionnumerous applicationslight attenuationleveraging datalearn mappingslatest advancementslarge datasetsfuture researchdriven approachesdeep learningdata dependencycurrent knowledgecore objectivesautonomous navigation<p>Screening criteria applied for the study selection process.</p>2025-03-10T17:36:20ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0317306.t001https://figshare.com/articles/dataset/Screening_criteria_applied_for_the_study_selection_process_/28567979CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/285679792025-03-10T17:36:20Z |
| spellingShingle | Screening criteria applied for the study selection process. Yong Lin Lai (20854961) Medicine Sociology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified underwater image enhancement underwater image degradation marine resource surveying underlying degradation processes enhancing underwater images color correction methods based methods focus review findings serve reduce computational complexity including algorithmic limitations challenges persist across based methods aim based methods computational complexity physical processes enhanced images time applications three groups target monitoring review consolidates presenting challenges practical use physical models physical model objective detection numerous applications light attenuation leveraging data learn mappings latest advancements large datasets future research driven approaches deep learning data dependency current knowledge core objectives autonomous navigation |
| status_str | publishedVersion |
| title | Screening criteria applied for the study selection process. |
| title_full | Screening criteria applied for the study selection process. |
| title_fullStr | Screening criteria applied for the study selection process. |
| title_full_unstemmed | Screening criteria applied for the study selection process. |
| title_short | Screening criteria applied for the study selection process. |
| title_sort | Screening criteria applied for the study selection process. |
| topic | Medicine Sociology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified underwater image enhancement underwater image degradation marine resource surveying underlying degradation processes enhancing underwater images color correction methods based methods focus review findings serve reduce computational complexity including algorithmic limitations challenges persist across based methods aim based methods computational complexity physical processes enhanced images time applications three groups target monitoring review consolidates presenting challenges practical use physical models physical model objective detection numerous applications light attenuation leveraging data learn mappings latest advancements large datasets future research driven approaches deep learning data dependency current knowledge core objectives autonomous navigation |