RESNET-50 with ontological visual features based medicinal plants classification.

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Bibliographic Details
Title: RESNET-50 with ontological visual features based medicinal plants classification.
Authors: Renukaradhya S; Sir M. Visvesvaraya Institute of Technology, affiliated to Visvesvaraya Technological University, Belagavi.; Department of Computer Science and Engineering, Presidency University, Bengaluru, India., Narayanappa SS; Department of Information Science and Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India., Raja P; Department of Computer Science and Engineering, Presidency University, Bengaluru, India.
Source: Network (Bristol, England) [Network] 2026 Nov; Vol. 37 (4), pp. 817-853. Date of Electronic Publication: 2025 Mar 03.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1361-6536
DOI:10.1080/0954898X.2024.2447878