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- W2892324106 abstract "The use of deep learning algorithms to intelligently identify objects from video has a wide range of applications. The more advanced system based on the tensorflow framework is proposed for deep neural network recognition of objects in this paper. Our work is mainly the following: (1) Using the vgg deep convolutional network architecture as the infrastructure. (2) Real-time recognition of objects in video. (3) The system framework can be used in substations to realize real-time identification of objects with security threats." @default.
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- W2892324106 date "2018-09-10" @default.
- W2892324106 modified "2023-10-18" @default.
- W2892324106 title "Research on Substation Real-Time Object Recognition Algorithm Based on Deep Learning" @default.
- W2892324106 doi "https://doi.org/10.12783/dtetr/pmsms2018/24908" @default.
- W2892324106 hasPublicationYear "2018" @default.
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