Please use this identifier to cite or link to this item:
http://dspace.aiub.edu:8080/jspui/handle/123456789/2508
Title: | SafeguardNet: Enhancing Corporate Safety via Tailored Deep Transfer Learning for Threat Recognition |
Authors: | Mridha, M. F. |
Issue Date: | 15-Aug-2024 |
Publisher: | IEEE |
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}, |
Series/Report no.: | 10.1109/ACCESS.2024.3444604; |
URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/2508 |
ISSN: | 2169-3536 |
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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