Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Weisi Dai"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Forecasting stock movements is a crucial research endeavor in finance, aiding traders in making informed decisions for enhanced profitability. Utilizing actual stock prices and correlating factors from the Wind platform presents a potent yet
Externí odkaz:
https://doaj.org/article/2dc5646748274bd3b14073f0983c23b9
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39978- (2024)
Objective: To understand the virulence genes and molecular epidemiological characteristics of human-infected strains of Streptococcus suis in Rui'an, Zhejiang Province, from 2021 to 2022, and to provide a scientific basis for diagnosis, treatment, pr
Externí odkaz:
https://doaj.org/article/02dd8565f9444072af22642c47f950ad
Publikováno v:
Plants, Vol 13, Iss 16, p 2277 (2024)
Maize is an important crop, and the detection of maize diseases is critical for ensuring food security and improving agricultural production efficiency. To address the challenges of difficult feature extraction due to the high similarity among maize
Externí odkaz:
https://doaj.org/article/d1887eff951a4bed8267d004f58ea569
Autor:
Jinyang Li, Fengting Zhao, Hongmin Zhao, Guoxiong Zhou, Jiaxin Xu, Mingzhou Gao, Xin Li, Weisi Dai, Honliang Zhou, Yahui Hu, Mingfang He
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Precise disease detection is crucial in modern precision agriculture, especially in ensuring the health of tomato crops and enhancing agricultural productivity and product quality. Although most existing disease detection methods have helped growers
Externí odkaz:
https://doaj.org/article/46fc19f6738044e385754e7f038824b5
Autor:
Weisi Dai, Wenke Zhu, Guoxiong Zhou, Genhua Liu, Jiaxin Xu, Hongliang Zhou, Yahui Hu, Zewei Liu, Jinyang Li, Liujun Li
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Rice leaf diseases have an important impact on modern farming, threatening crop health and yield. Accurate semantic segmentation techniques are crucial for segmenting diseased leaf parts and assisting farmers in disease identification. However, the d
Externí odkaz:
https://doaj.org/article/ca439b591bd5459a9d6d5adaa5666385
Autor:
Jiaxin Xu, Hongliang Zhou, Yufan Hu, Yongfei Xue, Guoxiong Zhou, Liujun Li, Weisi Dai, Jinyang Li
Publikováno v:
Plants, Vol 13, Iss 9, p 1176 (2024)
Tomato leaf disease control in the field of smart agriculture urgently requires attention and reinforcement. This paper proposes a method called LAFANet for image-text retrieval, which integrates image and text information for joint analysis of multi
Externí odkaz:
https://doaj.org/article/e03ec3bf7a844b7f852740a8b8fda378
Autor:
Renchi Fang, Yao Sun, Weisi Dai, Xiangkuo Zheng, Xuebin Tian, Xiucai Zhang, Chong Wang, Jianming Cao, Tieli Zhou
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 22, Iss , Pp 631-636 (2020)
Objective: To characterize the evolutionary pathways of tigecycline (TGC) resistance and alterations in the biological characteristics of hospital-derived Staphylococcus aureus isolates under selective pressure. Methods: Three clinical S. aureus stra
Externí odkaz:
https://doaj.org/article/1dae0cdbad9d4d24b4108b9f83364031
Autor:
Maning Liu, Mohamed Abodya, Weisi Dai, Tokuhisa Kawawaki, Ryota Sato, Masaki Saruyama, Toshiharu Teranishi, Yasuhiro Tachibana
Publikováno v:
Journal of Photopolymer Science and Technology. 35:199-204
Autor:
Maning Liu, Mohamed Abodya, Weisi Dai, Tokuhisa Kawawaki, Ai Shimazaki, Ryota Sato, Masaki Saruyama, Toshiharu Teranishi, Atsushi Wakamiya, Yasuhiro Tachibana
Publikováno v:
2022 29th International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD).
Autor:
Tieli Zhou, Yao Sun, Weisi Dai, Chong Wang, Xuebin Tian, Renchi Fang, Xiucai Zhang, Jianming Cao, Xiangkuo Zheng
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 22, Iss, Pp 631-636 (2020)
Objective To characterize the evolutionary pathways of tigecycline (TGC) resistance and alterations in the biological characteristics of hospital-derived Staphylococcus aureus isolates under selective pressure. Methods Three clinical S. aureus strain