Dequan Guo1, Qiao Yang2, Yu-Dong Zhang3, Tao Jiang1, Hanbing Yan1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 599-620, 2021, DOI:10.32604/cmes.2021.014119
- 19 April 2021
Abstract The problem of domestic refuse is becoming more and more serious with the use of all kinds of equipment in
medical institutions. This matter arouses people’s attention. Traditional artificial waste classification is subjective
and cannot be put accurately; moreover, the working environment of sorting is poor and the efficiency is low.
Therefore, automated and effective sorting is needed. In view of the current development of deep learning, it can
provide a good auxiliary role for classification and realize automatic classification. In this paper, the ResNet-50
convolutional neural network based on the transfer learning method is More >
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