Previously literatures on feature evaluation for relevance based on linear transformation.
<p>Previously literatures on feature evaluation for relevance based on linear transformation.</p>
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2025
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| _version_ | 1852018590967922688 |
|---|---|
| author | Jia Liu (41593) |
| author2 | Jinglei Zhang (311803) Shaoqi Zhang (15450567) Kaiwei Li (4372756) Xiang Li (114679) Shuo Zhang (30844) Hang Gu (345928) Zhen Chen (129176) Chao Liu (43092) Nan Zhang (46264) Tong Sun (1564231) |
| author2_role | author author author author author author author author author author |
| author_facet | Jia Liu (41593) Jinglei Zhang (311803) Shaoqi Zhang (15450567) Kaiwei Li (4372756) Xiang Li (114679) Shuo Zhang (30844) Hang Gu (345928) Zhen Chen (129176) Chao Liu (43092) Nan Zhang (46264) Tong Sun (1564231) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jia Liu (41593) Jinglei Zhang (311803) Shaoqi Zhang (15450567) Kaiwei Li (4372756) Xiang Li (114679) Shuo Zhang (30844) Hang Gu (345928) Zhen Chen (129176) Chao Liu (43092) Nan Zhang (46264) Tong Sun (1564231) |
| dc.date.none.fl_str_mv | 2025-07-10T17:27:58Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0327748.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Previously_literatures_on_feature_evaluation_for_relevance_based_on_linear_transformation_/29535002 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Microbiology Biotechnology Immunology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified wound infection detection two bacteria datasets feature group selection experimental results show effective detection range chemical components contributing optimized sensor combination takes two first nose &# 8217 effectively identify biomarkers fgs algorithm determined bacteria dataset 2 bad sensor features achieves excellent performance fgs achieves sensor arrays one first electronic nose effectively distinguish fgs ). xlink "> valuable discoveries six second significantly ahead sensing equipment precise odor mean accuracy max accuracy maintain e gradually selecting four second efficient optimization comparison methods classification accuracy |
| dc.title.none.fl_str_mv | Previously literatures on feature evaluation for relevance based on linear transformation. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Previously literatures on feature evaluation for relevance based on linear transformation.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_b780bc4cac3277e01c4e8c76c94c4e7b |
| identifier_str_mv | 10.1371/journal.pone.0327748.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29535002 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Previously literatures on feature evaluation for relevance based on linear transformation.Jia Liu (41593)Jinglei Zhang (311803)Shaoqi Zhang (15450567)Kaiwei Li (4372756)Xiang Li (114679)Shuo Zhang (30844)Hang Gu (345928)Zhen Chen (129176)Chao Liu (43092)Nan Zhang (46264)Tong Sun (1564231)MicrobiologyBiotechnologyImmunologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedwound infection detectiontwo bacteria datasetsfeature group selectionexperimental results showeffective detection rangechemical components contributingoptimized sensor combinationtakes two firstnose &# 8217effectively identify biomarkersfgs algorithm determinedbacteria dataset 2bad sensor featuresachieves excellent performancefgs achievessensor arraysone firstelectronic noseeffectively distinguishfgs ).xlink ">valuable discoveriessix secondsignificantly aheadsensing equipmentprecise odormean accuracymax accuracymaintain egradually selectingfour secondefficient optimizationcomparison methodsclassification accuracy<p>Previously literatures on feature evaluation for relevance based on linear transformation.</p>2025-07-10T17:27:58ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0327748.t003https://figshare.com/articles/dataset/Previously_literatures_on_feature_evaluation_for_relevance_based_on_linear_transformation_/29535002CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/295350022025-07-10T17:27:58Z |
| spellingShingle | Previously literatures on feature evaluation for relevance based on linear transformation. Jia Liu (41593) Microbiology Biotechnology Immunology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified wound infection detection two bacteria datasets feature group selection experimental results show effective detection range chemical components contributing optimized sensor combination takes two first nose &# 8217 effectively identify biomarkers fgs algorithm determined bacteria dataset 2 bad sensor features achieves excellent performance fgs achieves sensor arrays one first electronic nose effectively distinguish fgs ). xlink "> valuable discoveries six second significantly ahead sensing equipment precise odor mean accuracy max accuracy maintain e gradually selecting four second efficient optimization comparison methods classification accuracy |
| status_str | publishedVersion |
| title | Previously literatures on feature evaluation for relevance based on linear transformation. |
| title_full | Previously literatures on feature evaluation for relevance based on linear transformation. |
| title_fullStr | Previously literatures on feature evaluation for relevance based on linear transformation. |
| title_full_unstemmed | Previously literatures on feature evaluation for relevance based on linear transformation. |
| title_short | Previously literatures on feature evaluation for relevance based on linear transformation. |
| title_sort | Previously literatures on feature evaluation for relevance based on linear transformation. |
| topic | Microbiology Biotechnology Immunology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified wound infection detection two bacteria datasets feature group selection experimental results show effective detection range chemical components contributing optimized sensor combination takes two first nose &# 8217 effectively identify biomarkers fgs algorithm determined bacteria dataset 2 bad sensor features achieves excellent performance fgs achieves sensor arrays one first electronic nose effectively distinguish fgs ). xlink "> valuable discoveries six second significantly ahead sensing equipment precise odor mean accuracy max accuracy maintain e gradually selecting four second efficient optimization comparison methods classification accuracy |