Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29961
DC FieldValueLanguage
dc.contributor.authorArgyrou, Argyro-
dc.contributor.authorAgapiou, Athos-
dc.date.accessioned2023-07-24T13:02:48Z-
dc.date.available2023-07-24T13:02:48Z-
dc.date.issued2022-08-08-
dc.identifier.citationComputer Applications in Archaeology 2022, Oxford from 8th-11th August 2022en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29961-
dc.formatpdfen_US
dc.language.isoenen_US
dc.relationENSURE: Innovative survey techniques for detection of surface and sub-surface archaeological remainsen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectArchaeologyen_US
dc.subjectMachine Learning (ML)en_US
dc.subjectObject detectionen_US
dc.subjectClassificationen_US
dc.subjectEarth Observationen_US
dc.titleAn overview of the utilization of Machine Learning (ML) in archaeological research: Earth observation data and analysis of endangered monuments and sites using machine learning techniquesen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationEarth Observation Cultural Heritage Research Laben_US
dc.subject.categoryHistory and Archaeologyen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldHumanitiesen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceComputer Applications in Archaeology (CAA)en_US
cut.common.academicyear2022-2023en_US
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-6134-5799-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.project.grantnoEX/200145-
crisitem.project.fundingProgramCyprus University of Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Files in This Item:
File Description SizeFormat
An overview of the utilization of Machine Learning (ML).pdf180.77 kBAdobe PDFView/Open
CORE Recommender
Show simple item record

Page view(s) 20

242
Last Week
2
Last month
8
checked on Nov 6, 2024

Download(s) 20

96
checked on Nov 6, 2024

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons