基于时频表征和注意力增强卷积神经网络的猕猴桃无损硬度检测.

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Title: 基于时频表征和注意力增强卷积神经网络的猕猴桃无损硬度检测.
Alternate Title: Non-destructive hardness detection of kiwifruit based on time-frequency representation and attention-enhanced convolutional neural network.
Authors: 邓奕男1,2 ddengyinan@163.com, 廖发发2, 欧阳尚韬2, 曾焕强2,3, 刘建春2,3, 李 斌2, 陈 楠2, 刘燕德3 jxliuyd@163.com
Source: Transactions of the Chinese Society of Agricultural Engineering. Jan2026, Vol. 42 Issue 2, p327-336. 10p.
Database: Academic Search Ultimate
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  Data: 基于时频表征和注意力增强卷积神经网络的猕猴桃无损硬度检测.
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  Data: Non-destructive hardness detection of kiwifruit based on time-frequency representation and attention-enhanced convolutional neural network.
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  Data: <searchLink fieldCode="JN" term="%22Transactions+of+the+Chinese+Society+of+Agricultural+Engineering%22">Transactions of the Chinese Society of Agricultural Engineering</searchLink>. Jan2026, Vol. 42 Issue 2, p327-336. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191338238
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        Value: 10.11975/j.issn.1002-6819.202506147
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      – Code: chi
        Text: Chinese
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        PageCount: 10
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            NameFull: 廖发发
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              Text: Jan2026
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