Automated health monitoring system using YOLOv8 for real-time device parameter detection.

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Bibliographic Details
Title: Automated health monitoring system using YOLOv8 for real-time device parameter detection.
Authors: Mahmood MS; Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh., Shoyaeb M; Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh., Chowdhury A; Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh. aditta.eee@cuet.ac.bd., Chowdhury MH; Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh.
Source: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2026 Mar; Vol. 49 (1), pp. 397-406. Date of Electronic Publication: 2025 Nov 17.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2662-4737
DOI:10.1007/s13246-025-01673-4