A review of deep learning models for food flavor data analysisOA
A review of deep learning models for food flavor data analysis
Jiawen Yuan;Qihan Wu;Jie Zhou;Shuai Yu;Xing Xin;Jin Liu;Xiaohui Cui
Science Center for Future Foods,Jiangnan University,Wuxi 214122,China||School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,ChinaScience Center for Future Foods,Jiangnan University,Wuxi 214122,China||School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,ChinaScience Center for Future Foods,Jiangnan University,Wuxi 214122,China||School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,ChinaDepartment of Chemical and Materials Engineering,University of Auckland,Auckland 1010,New ZealandScience Center for Future Foods,Jiangnan University,Wuxi 214122,China||School of Food and Advanced Technology,Massey University,Palmerston North 4474,New ZealandSchool of Computer Science,Wuhan University,Wuhan 430072,ChinaScience Center for Future Foods,Jiangnan University,Wuxi 214122,China
Multimodal deep learningFlavor perceptionConvolutional neural networkRecurrent neural network
Multimodal deep learningFlavor perceptionConvolutional neural networkRecurrent neural network
《未来食品学报（英文）》 2026 (4)
533-544,12
This work was financially supported by the Jiangsu Specially-Appointed Professor Program(5966010241250010)and the Fundamental Research Funds for the Central Universities(JUSRP124032).
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