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Your search keyword '"Sun, Li"' showing total 1,560 results
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1,560 results on '"Sun, Li"'

104. Sintilimab combined with bevacizumab in relapsed or persistent ovarian clear cell carcinoma (INOVA): a multicentre, single-arm, phase 2 trial

Author

Hu, Ting, Zeng, Shaoqing, Wang, Ya, Chi, Jianhua, Jiao, Xiaofei, Liu, Jiahao, Li, Ming, Wen, Yuanjia, Xiong, Fan, Xu, Yu, Ma, Guanchen, Zhao, Yingjun, Yu, Yang, Li, Ruyuan, Peng, Zikun, Li, Huayi, Gao, Yunong, Sun, Li, Jiang, Jie, Xia, Bairong, Huang, Yi, Zhang, Yu, Xia, Yu, Zhang, Yuxin, Shen, Yiyang, Huang, Bowen, Nie, Jiayu, Chen, Xinrong, Liu, Xingyu, Feng, Cui, Li, Zhen, Zhang, Wei, Tao, Kangjia, Zhang, Qiuxue, Duan, Shican, Chen, Yaheng, Chen, Yeshan, Wang, Wei, Zheng, Hong, Lu, Yudong, Liu, Yi, Wang, Limei, Qi, Wencai, He, Yang, Tian, Yan, Li, Guiling, Ma, Ding, and Gao, Qinglei

Published
2024
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149. Continuous Cooling Phase Transformation Prediction Model of 20CrMnTiH

Author

Yang Ting, Duan Luzhao, Liu Xu, Bai Lijuan, Zhang Yunfei, Sun Li

Subjects
20crmntih steel； cct curves； phase transition dynamics； composition fluctuation； phase transition model, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology
Abstract

The thermal expansion curves of 20CrMnTiH test steel with three compositions at different cooling rates were measured by DIL805 type quench deformation expansion instrument ， and the microstructures at room temperature were observed， the continuous cooling transition （CCT） curves were drawn. The test results show that the composition fluctuation mainly affects the cooling range of bainite and martensite phase transformation during the cooling transformation of 20CrMnTiH， and has little effect on the critical phase transformation temperature. The kinetic parameters of martensitic transformation of the three test steels were fitted by using K-M equation. Combined with the optimized Li empirical model and the regression equation of critical transition temperature， a prediction model of phase transformation prediction model of ferrite，pearlite and bainite during continuous cooling of 20CrMnTiH was established ，the influence of composition fluctuation on CCT curve of the test steels were predicted successfully. Furthermore， the end-quenching simulation model of 20CrMnTiH steel was established by finite element analysis method， which can better predict the influence of composition fluctuation on the hardenability of the test steel. This method can provide reference for the composition optimization design and material selection of gear steel.

Published
2024
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150. Food Image Classification Based on CBAM-Inception V3 Transfer Learning

Author

DU Hui-jiang, CUI Xiao-yi, WANG Yi-meng, and SUN Li-ping

Subjects
food image classification, channel attention, spatial attention, cbam, inceptionv3, transfer learning, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module. The specific method is to split the Inception V3 model with ImageNet pre-trained weight parameters into blocks, embed CBAM modules after each Inception block, and reassemble them into a new model, embedding a total of 11 CBAM modules. This new model is used for transfer learning of Food-101 food image dataset padded and scaled to 299 pixels in both length and width, with the highest accuracy of 82.01%. Compared with the original Inception V3 model, the CBAM module can effectively improve the model's feature extraction and classification capabilities. At the same time, transfer learning can significantly improve the accuracy rate and shorten the training time compared with the training from scratch. Compared with several other mainstream convolutional neural network models, the results show that this new model has higher recognition accuracy and can provide strong support for food image classification and recognition.

Published
2024
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