Hide metadata

dc.contributor.authorSchøyen, Vemund Sigmundson
dc.date.accessioned2020-09-21T23:49:40Z
dc.date.available2020-09-21T23:49:40Z
dc.date.issued2020
dc.identifier.citationSchøyen, Vemund Sigmundson. Deep Learning for Automated Inspection of Seafloor Pipelines with Multibeam Echosounder Data. Master thesis, University of Oslo, 2020
dc.identifier.urihttp://hdl.handle.net/10852/79651
dc.description.abstracteng
dc.language.isoeng
dc.subject- Deep Learning - Detection and Tracking - Multibeam Echosounder - Seafloor Pipeline Inspection
dc.titleDeep Learning for Automated Inspection of Seafloor Pipelines with Multibeam Echosounder Dataeng
dc.typeMaster thesis
dc.date.updated2020-09-22T23:47:47Z
dc.creator.authorSchøyen, Vemund Sigmundson
dc.identifier.urnURN:NBN:no-82822
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/79651/1/vemundss.pdf


Files in this item

Appears in the following Collection

Hide metadata