Yayın:
Assessing household damages using multi-model deep learning pipeline

dc.contributor.authorKIYIKÇI, Fatih
dc.contributor.authorKOŞAR, Enes
dc.contributor.authorBEKİN, Mehmet Eren
dc.contributor.authorCUNEDİOĞLU, Hilal Onur
dc.contributor.authorFatih Abut
dc.contributor.authorFatih AKAY
dc.contributor.orcid0000-0003-3949-5680
dc.contributor.orcid0000-0002-4782-1768
dc.contributor.orcid0000-0001-9757-2483
dc.contributor.orcid0000-0002-9024-250X
dc.contributor.orcid0000-0001-5876-4116
dc.date.accessioned2025-11-13T12:04:40Z
dc.date.issued2022-06-25
dc.identifier.doihttps://doi.org/10.26701/ems.1031595
dc.identifier.endpage142
dc.identifier.issn2587-1110
dc.identifier.issue2
dc.identifier.openalexW4283163016
dc.identifier.startpage138
dc.identifier.urihttps://hdl.handle.net/11421/8885
dc.identifier.urihttps://doi.org/10.26701/ems.1031595
dc.identifier.volume6
dc.language.isoen
dc.relation.ispartofEuropean Mechanical Science
dc.rightsopenAccess
dc.subjectDamages
dc.subjectComputer science
dc.subjectSegmentation
dc.subjectPipeline (software)
dc.subjectConvolutional neural network
dc.subjectTask (project management)
dc.subjectArtificial intelligence
dc.subjectPyramid (geometry)
dc.subjectDeep learning
dc.subjectIntersection (aeronautics)
dc.subjectBinary classification
dc.subjectMarket segmentation
dc.subjectFeature (linguistics)
dc.subjectMachine learning
dc.subjectSupport vector machine
dc.subjectEngineering
dc.subjectBusiness
dc.subjectTransport engineering
dc.subject.sdg3
dc.titleAssessing household damages using multi-model deep learning pipeline
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5085378798
local.authorid.openalexA5038922227
local.authorid.openalexA5076772916
local.authorid.openalexA5089180188

Dosyalar

Koleksiyonlar