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González-Pérez Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows); modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) CreationDate: Tue May 31 07:32:14 2022 CEST ModDate: Mon Jun 6 07:16:44 2022 CEST Tagged: no UserProperties: no Suspects: no Form: AcroForm JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 790.866 pts Page rot: 0 File size: 1454814 bytes Optimized: no PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- MyriadPro-Regular Type 1C Custom yes no yes 81 0 MyriadPro-Bold Type 1C WinAnsi yes no yes 82 0 MyriadPro-It Type 1C Custom yes no yes 83 0 MyriadPro-Semibold Type 1C Custom yes no yes 88 0 MyriadPro-Light Type 1C Custom yes no yes 87 0 GSLOFM+OpenSans Type 1C WinAnsi yes yes no 639 0 MyriadPro-LightIt Type 1C WinAnsi yes no yes 84 0 WarnockPro-It Type 1C Custom yes no yes 85 0 WarnockPro-Regular Type 1C Custom yes no yes 86 0 DJWCIJ+MTSY Type 1C Custom yes yes yes 113 0 WarnockPro-LightIt Type 1C WinAnsi yes no yes 114 0 WarnockPro-Light Type 1C Custom yes no yes 115 0 MyriadPro-Regular2 Type 1C WinAnsi yes no yes 422 0 DRLUQM+MyriadPro-SemiboldIt Type 1C WinAnsi yes yes yes 214 0 RCUMIQ+OpenSans-Light Type 1C Custom yes yes no 412 0 RCUMIQ+OpenSans-Extrabold Type 1C WinAnsi yes yes no 408 0 RCUMIQ+OregonLDOBookSinistral Type 1C WinAnsi yes yes no 418 0 RCUMIQ+OpenSans-Bold Type 1C WinAnsi yes yes no 415 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-01-19 02:29:28 CET RepresentationInformation: pmc_9169302.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2022-12-14 02:18:38 CET Size: 1454814 Format: PDF Version: 1.6 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 730 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: EN Outlines: Item: Title: A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy Children: Item: Title: Abstract Children: Item: Title: Background: Item: Title: Methods: Item: Title: Results: Item: Title: Conclusions: Item: Title: Background Item: Title: Methods Children: Item: Title: Mosquito rearing conditions Item: Title: Sensor and trap description Item: Title: Data acquisition process Item: Title: Feature extraction Item: Title: Machine learning Item: Title: Results Children: Item: Title: Genus classification Item: Title: Sex classification of Aedes Item: Title: Sex classification of Culex Item: Title: Summary of the best classification results Item: Title: Discussion Item: Title: Conclusions Item: Title: Acknowledgements Item: Title: References Info: Title: A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy Author: María I. 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