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dc.contributor.authorGallagher, Samuel
dc.date.accessioned2025-06-06T00:30:25Z
dc.date.available2025-06-06T00:30:25Z
dc.date.issued2025-05
dc.identifier.urihttp://hdl.handle.net/11122/15953
dc.descriptionMaster's Project (M.S.) University of Alaska Fairbanks, 2025en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Alaska Fairbanksen_US
dc.subject.otherMaster of Science in Computer Scienceen_US
dc.titleHow does a neural network's topology affect its accuracy and resource utilization for semantic segmentation of an image?en_US
dc.typeMaster's Projecten_US
dc.type.degreemsen_US
dc.identifier.departmentDepartment of Computer Scienceen_US
dc.contributor.chairDas, Arghya
dc.contributor.committeeLawlor, Orion
dc.contributor.committeeSchwartz, Lane
refterms.dateFOA2025-06-06T00:30:26Z


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