Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Yingxin Cheng"'
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Akademický článek
A Combined Noise Reduction Method for Floodgate Vibration Signals Based on Adaptive Singular Value Decomposition and Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
Autor: Wentao Wang, Huiqi Zhu, Yingxin Cheng, Yiyuan Tang, Bo Liu, Huokun Li, Fan Yang, Wenyuan Zhang, Wei Huang, Fang Zheng
Publikováno v: Water, Vol 15, Iss 24, p 4287 (2023)
To address the issue of the vibration characteristic signals of floodgates being affected by background white noise and low-frequency water flow noise, a noise reduction method combining the improved adaptive singular value decomposition algorithm (A
Externí odkaz: https://doaj.org/article/63cef4a7ff904c3b9b40aa52f9c78675
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7
Classification of Foreign Language Mobile Learning Strategy Based on Principal Component Analysis and Support Vector Machine
Autor: Shuai Hu, Yingxin Cheng, Yan Gu
Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319387697
ITITS (2)
To improve the classification accuracy of foreign language mobile learning (m-learning) strategies applied by college students, an evaluation model based on principal component analysis (PCA) and support vector machine (SVM) is proposed. PCA was firs
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55beb6b2235420c9ad8a79bc05be2e2c
https://doi.org/10.1007/978-3-319-38771-0_36
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8
Research on Cooperative Interactive Teaching Model in College English Based on Multimedia Network
Autor: Yingxin Cheng
Publikováno v: Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering.
In view of the present situations that the traditional college English teaching is mainly based on teachers' teaching, students are in a passive learning state, the classroom atmosphere is boring and students' positive initiative can't play, this pap
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f13b6bb103b9159a3f0612070c0c3ec4
https://doi.org/10.2991/icesame-16.2016.266
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9
Classification of college students' mobile learning strategies based on principal component analysis and probabilistic neural network
Autor: Yingxin Cheng, Shuai Hu
Publikováno v: 2015 4th International Conference on Computer Science and Network Technology (ICCSNT).
To increase classification accuracy of college students' mobile learning (m-learning) strategies in foreign language learning, a classification model based on principal component analysis (PCA) and probabilistic neural network (PNN) is proposed. Firs
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92781d1118246bbd5f1d05f1011c7d73
https://doi.org/10.1109/iccsnt.2015.7490708
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10
Overexpression of GmERF5, a new member of the soybean EAR motif-containing ERF transcription factor, enhances resistance to Phytophthora sojae in soybean
Autor: Junjiang Wu, Shuzhen Zhang, Dayong Zhang, Qun Cheng, Wenbin Li, Lidong Dong, Yingxin Cheng, Pengfei Xu, Liangyu Jiang, Sujie Fan, Zhaolong Xu, Fanjiang Kong
Publikováno v: Journal of experimental botany. 66(9)
Phytophthora root and stem rot of soybean [Glycine max (L.) Merr.], caused by Phytophthora sojae Kaufmann and Gerdemann, is a destructive disease throughout the soybean planting regions in the world. Here, we report insights into the function and und
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33b068976e6dee8d645ce7f83ba2c50c
https://pubmed.ncbi.nlm.nih.gov/25779701
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