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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Mridha, M. F. | - |
dc.date.accessioned | 2024-10-15T10:14:25Z | - |
dc.date.available | 2024-10-15T10:14:25Z | - |
dc.date.issued | 2024-08-15 | - |
dc.identifier.citation | N. Jahan, M. S. Chowdhury, T. Sultan, M. F. Mridha and M. S. H. Mukta, "SafeguardNet: Enhancing Corporate Safety via Tailored Deep Transfer Learning for Threat Recognition," in IEEE Access, vol. 12, pp. 113502-113517, 2024, doi: 10.1109/ACCESS.2024.3444604. keywords: {Home automation;Security;Surveillance;Transfer learning;Safety;Deep learning;Building services;Fire safety;Building safety;weapon detection;fire detection;deep learning;explainable AI;automated home}, | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | http://dspace.aiub.edu:8080/jspui/handle/123456789/2508 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 10.1109/ACCESS.2024.3444604; | - |
dc.title | SafeguardNet: Enhancing Corporate Safety via Tailored Deep Transfer Learning for Threat Recognition | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications: Journals |
Files in This Item:
File | Description | Size | Format | |
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Dspace 1 F 2024.docx | File | 4.66 MB | Microsoft Word XML | View/Open |
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