|
|
|
|
|
Baobao Liu, Heying Wang, Zifan Cao, Yu Wang, Lu Tao, Jingjing Yang and Kaibing Zhang
Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve the effectiveness and accuracy of fabric defect detection, we propose the PRC-Light YOLO model for fabric defect detection and establish a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiujuan Jiao, Fengmin Shen, Lina Fan, Zihao Song, Jingjing Zhang, Jia Song, Shah Fahad, Fang Liu, Ying Zhao, Zhiqiang Tian and Haitao Liu
Salinity is an obstacle to global agriculture, as it affects plant growth and development. Chitosan (CTS) has been suggested as a plant growth regulator to alleviate environmental stresses. In this study, the morphological and biochemical responses of ch...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingsong Zhao, Jingjing Dong, Zhiyong Yan, Ling Xu and Ake Liu
The use of traditional Chinese medicine (TCM) residue as a crop culture substrate has unique advantages in alleviating the obstacles associated with continuous monocropping, such as increasing production, improving quality and alleviating pests and disea...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyan Sun, Shuya Guang, Jingjing Cao, Fengying Zhu, Jianxu Liu and Songsak Sriboonchitta
Based on the survey data of five large grain-producing provinces in China, this paper studies the effect of agricultural production trusteeship on agricultural carbon emission reduction by using a propensity score matching method. The empirical results s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinli Yang, Jingjing Liu and Denghui Zhang
Applying prediction models to software engineering is an interesting research area. There have been many related studies which leverage prediction models to achieve good performance in various software engineering tasks. With more and more researches in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Song, Zhihong Yu, Guimei Qi, Qiang Su, Jingjing Xie and Wenhang Liu
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network?s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper featur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Wang, Dashuai Gao, Huasong Luo, Yong Chen, Hang Liu and Jingjing Chen
From the perspective of tourism space optimization, the application of computer technology in creating computational simulations of correlation effects in tourism space systems is a core issue in research related to ports and hinterlands. Using a compute...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tao Wang, Jingjing Chen, Li Liu and Lingling Guo
Recently, the deep learning technology has been adopted in the study of traditional village landscape. More precisely, it?s usually used to explore the representation of cultural heritage and the diversity of heritage information. In this study, we compr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gui Ren, Zhenxian Huo, Jingjing Wang and Xihe Liu
In order to help enterprises to achieve high-quality development and improve the capital market regulatory policies by supporting with more factual basis from China, this paper conducts research on clarifying impact mechanism of digital transformation on...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiao Shi, Tianyun Su, Xinfang Li, Fuwei Wang, Jingjing Cui, Zhendong Liu and Jie Wang
Significant wave height (SWH) is a key parameter for monitoring the state of waves. Accurate and long-term SWH forecasting is significant to maritime shipping and coastal engineering. This study proposes a transformer model based on an attention mechanis...
ver más
|
|
|
|
|
|