2篇
您的检索式：作者名="Tongping Shen"
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| 1 | Facial Expression Recognition Based on Multi-Channel Attention Residual Network显示文摘For the problems of complex model structure and too many training parameters in facial expression recognition algorithms,we proposed a residual network structure with a multi-headed channel attention(MCA)module.The migration learning algorithm is used to pre-train the convolutional layer parameters and mitigate the overfitting caused by the insufficient number of training samples.The designed MCA module is integrated into the ResNet18 backbone network.The attention mechanism highlights important information and suppresses irrelevant information by assigning different coefficients or weights,and the multi-head structure focuses more on the local features of the pictures,which improves the efficiency of facial expression recognition.Experimental results demonstrate that the model proposed in this paper achieves excellent recognition results in Fer2013,CK+and Jaffe datasets,with accuracy rates of 72.7%,98.8%and 93.33%,respectively. | Tongping Shen Huanqing Xu | 2023 | Computer Modeling in Engineering & Sciences2023，，4： | 0 |
| 2 | Key Technologies of Traditional Chinese Medicine Traceability Based on Internet of Things显示文摘Compared with western medicine, there are many complicated factors affecting the intrinsic quality of traditional Chinese medicine, because its production needs to be planted, harvested, processed, transported, stored, and sold, etc. Therefore, the internet of things is integrated into the traceability of traditional Chinese medicine, and its key technologies are studied. An XMLbased traceability information exchange model was constructed for traditional Chinese medicine and modeled the traceability process by the finite state machine (FSM). Furthermore, the specific electronic product code (EPC) coding scheme of traditional Chinese medicine was proposed based on the EPC coding structure model. Finally, the effectiveness of the above models and schemes is verified by an example of a traditional Chinese medicine traceability prototype system. | Lei Yu Fangliang Huang Yong Yang Qunshan Tao Tongping Shen Luyao Zhang | 2019 | 国际计算机前沿大会会议论文集2019，，2： | 0 |
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