date: 2025-06-03T03:15:16Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Coupling hyperspectral imaging and deep learning to detect bloom-forming toxic cyanobacteria in mixed assemblages xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Knowledge-Based Systems, 322 (2025) 113794. doi:10.1016/j.knosys.2025.113794 language: English dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 3rd June 2025 pdf:encrypted: false dc:title: Coupling hyperspectral imaging and deep learning to detect bloom-forming toxic cyanobacteria in mixed assemblages modified: 2025-06-03T03:15:16Z cp:subject: Knowledge-Based Systems, 322 (2025) 113794. doi:10.1016/j.knosys.2025.113794 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Knowledge-Based Systems, 322 (2025) 113794. doi:10.1016/j.knosys.2025.113794 pdf:docinfo:creator: Claudia Fournier meta:author: Samuel Cirés meta:creation-date: 2025-06-03T03:02:40Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2025-06-03T03:02:40Z access_permission:extract_for_accessibility: true Creation-Date: 2025-06-03T03:02:40Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0.1 pdf:docinfo:custom:doi: 10.1016/j.knosys.2025.113794 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Samuel Cirés producer: Acrobat Distiller 8.1.0 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 3rd June 2025 doi: 10.1016/j.knosys.2025.113794 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Knowledge-Based Systems, 322 (2025) 113794. doi:10.1016/j.knosys.2025.113794 Keywords: Cyanobacterial blooms,Monitoring,Remote sensing,VIS-NIR,Early warning,Risk assessment access_permission:modify_annotations: true dc:creator: Samuel Cirés description: Knowledge-Based Systems, 322 (2025) 113794. doi:10.1016/j.knosys.2025.113794 dcterms:created: 2025-06-03T03:02:40Z Last-Modified: 2025-06-03T03:15:16Z dcterms:modified: 2025-06-03T03:15:16Z title: Coupling hyperspectral imaging and deep learning to detect bloom-forming toxic cyanobacteria in mixed assemblages xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2025-06-03T03:15:16Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Cyanobacterial blooms,Monitoring,Remote sensing,VIS-NIR,Early warning,Risk assessment pdf:docinfo:modified: 2025-06-03T03:15:16Z meta:save-date: 2025-06-03T03:15:16Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Samuel Cirés dc:language: English dc:subject: Cyanobacterial blooms,Monitoring,Remote sensing,VIS-NIR,Early warning,Risk assessment pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0.1 access_permission:assemble_document: true xmpTPg:NPages: 11 pdf:charsPerPage: 4763 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Cyanobacterial blooms,Monitoring,Remote sensing,VIS-NIR,Early warning,Risk assessment access_permission:can_modify: true pdf:docinfo:created: 2025-06-03T03:02:40Z CrossmarkMajorVersionDate: 2010-04-23