Developing a virtual machining system based on deep learning methods to improve the efficiency of milling processes

dc.date.accessioned 2025-08-11T20:45:32Z
dc.date.available 2025-08-11T20:45:32Z
dc.identifier.uri https://hdl.handle.net/20.500.11779/3045
dc.title Developing a virtual machining system based on deep learning methods to improve the efficiency of milling processes
dspace.entity.type Project
gproject.fundingprogram BAP
gproject.grantcurrency TRY
gproject.grantidentifier 25
gproject.status Sonuçlandı
local.identifier.crisid pj00071
project.amount 60,000.00
project.endDate 2019-01-01 00:00:00
project.funder.name TÜBİTAK
project.investigator Layegh Khavidaki, Seyed Ehsan
project.startDate 2018-01-01 00:00:00
relation.isOrgUnitOfProject a6e60d5c-b0c7-474a-b49b-284dc710c078
relation.isOrgUnitOfProject.latestForDiscovery a6e60d5c-b0c7-474a-b49b-284dc710c078

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