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Kun Liu, Kaixi Zhang, Yu Zhang, Jiarong Cui, Zhikang Li, Jian Huang, Shouguo Li, Jingli Zhang, Shan Deng, Yiying Zhang, Jingyan Huang, Li Ren, Yunxia Chu, Hong Zhao and Hairong Chen
Maximizing rice yield potential has always been the focus of high-yield rice cultivation research. For high-yield rice cultivation and breeding, more research into the link between yield and yield components is essential. In this experiment, 38 rice vari...
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Tinghui Wan, Zhanzhao Li, Mingming Wen, Zongheng Chen, Lieyu Tian, Qi Li, Jia Qu and Jingli Wang
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Qinnan Fei, Jiancheng Cao, Wanli Xu, Linzhao Jiang, Jun Zhang, Hui Ding, Xiaohong Li and Jingli Yan
This study concentrates on the field of intelligent nondestructive testing, presenting a CNN?based method for accurately evaluating the depth of micro?defects on or near a surface. The innovation in this study lies in several key aspects: (1) The establi...
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Changan Wei, Qiqi Li, Ji Xu, Jingli Yang and Shouda Jiang
Deep learning is widely used in vision tasks, but feature extraction of IR small targets is difficult due to the inconspicuous contours and lack of color information. This paper proposes a new convolutional neural network?based (CNN-based) method for IR ...
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Xiangqian Liu; Jingli Li; Xiaoli Ma
Pág. 2545 - 2554
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