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- W4386352423 abstract "The prosperous development of the national economy, while continuously improving people’s living standards, has also given rise to a series of environmental problems, such as the effective disposal of garbage. Traditional garbage disposal is mainly done manually, which is time-consuming and inefficient. With the advent of the era of artificial intelligence, the classification of garbage based on deep learning and image recognition technology has become practical and feasible, which can greatly improve the efficiency of garbage disposal. In this paper, we take the garbage image data set as the sample, build a training model to classify the garbage data, improve the classification accuracy through model optimization, realize the intelligent requirements of daily life garbage classification, reduce environmental pollution, and thus protect the environment" @default.
- W4386352423 created "2023-09-02" @default.
- W4386352423 creator A5017826971 @default.
- W4386352423 creator A5024705915 @default.
- W4386352423 date "2023-05-01" @default.
- W4386352423 modified "2023-09-27" @default.
- W4386352423 title "Research and implementation of garbage classification recognition algorithm" @default.
- W4386352423 cites W2194775991 @default.
- W4386352423 doi "https://doi.org/10.1109/icfeict59519.2023.00097" @default.
- W4386352423 hasPublicationYear "2023" @default.
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