Effective Recognition of the Ancient “Sthuupas” in Sri Lanka Using Machine Learning

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dc.contributor.author Mohamed, M.H.H.
dc.contributor.author Jayasinghe, J.M.D.S.
dc.contributor.author Rifna, M.Y.F.
dc.contributor.author Herath, P.
dc.contributor.author Wickramaarachchi, W.U.
dc.date.accessioned 2026-01-07T10:31:16Z
dc.date.available 2026-01-07T10:31:16Z
dc.date.issued 2024-03-19
dc.identifier.citation Undergraduates Research Symposium of Faculty of Technology 2024 - (URSoT 2024) en_US
dc.identifier.issn 2961-5593
dc.identifier.uri http://repository.rjt.ac.lk/handle/123456789/7955
dc.language.iso en en_US
dc.publisher Faculty of Technology Rajarata University of Sri Lanka en_US
dc.subject Sthuupa detection en_US
dc.subject DeLF en_US
dc.subject Object detection en_US
dc.subject Machine learning en_US
dc.subject Image recognition en_US
dc.title Effective Recognition of the Ancient “Sthuupas” in Sri Lanka Using Machine Learning en_US
dc.type Article en_US


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