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eNauka >  Results >  Non-Destructive Freshness Assessment of Oysters Using a Multimodal Deep Learning Approach: Visual and Acoustic Fusion
Title: Non-Destructive Freshness Assessment of Oysters Using a Multimodal Deep Learning Approach: Visual and Acoustic Fusion
Authors: Chen, Bin; Yu, Jiahao; Ma, Yimin; Fan, Jiaxin; Zhang, Yu; Gao, Yang; Tarjan, Laslo T  ; Zhang, Xiaoshuan
Issue Date: 2026
Publication: JOURNAL OF FOOD PROCESS ENGINEERING
ISSN: 0145-8876 Journal of Food Process Engineering Search Idenfier
Publisher: Wiley
Type: Article
Collation: vol. 49 br. 4 str. 1-12
DOI: 10.1111/jfpe.70500
WoS-ID: 001737517400001
Scopus-ID: 2-s2.0-105035675427
URI: https://enauka.gov.rs/handle/123456789/1036800
Project: National Natural Science Foundation of China [62573421]
Hainan Provincial Department of Science and Technology [GHYF2024022]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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