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使用一些卷积神经网络架构进行花粉粒分类

Benjamin Garga1, Hamadjam Abboubakar1,2,3, Rodrigue Saoungoumi Sourpele1,4

  • 1ENSAI, Laboratory of Energy, Signal, Imaging and Automation, University of Ngaoundere, Ngaoundere P.O. Box 455, Cameroon.

Journal of imaging
|July 26, 2024
PubMed
概括

这项研究使用卷积神经网络 (CNN) 增强了花粉粒分类. DenseNet201和ResNet50实现了最高的准确性,超过了以前的基准.

关键词:
在美国,CNN是CNN.波兰73SS 波兰73SS这是分类分类的分类.数据集数据集数据集表演就是表演.在花粉粒,花粉粒.

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