Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Xuewei Tang"'
Autor:
Hanwen Zhou, Feng Hong, Lele Wang, Xuewei Tang, Bing Guo, Yuying Luo, Hui Yu, Deqiang Mao, Ting Liu, Yuemei Feng, Yangji Baima, Juying Zhang, Xing Zhao, on behalf of the China Multi-Ethnic Cohort (CMEC)
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Uncertainty remains about the long-term effects of air pollutants (AP) on multiple diseases, especially subtypes of cardiovascular disease (CVD). We aimed to assess the individual and joint associations of fine particulate matter
Externí odkaz:
https://doaj.org/article/bbdcf2f6ccd54e53b3e36a5dc111c8d1
Autor:
Kejun Chen, Jianzhong Yin, Yucen Dai, Xuewei Tang, Huan Xu, Ye Jiang, Hualiang Lin, Jingzhong Li, Tingting Yang, Jianhong Yu, Xiaoyan Lv, Quzong Deji, Juying Zhang, Linshen Xie, Bing Guo, Xing Zhao, the China Multi-Ethnic Cohort (CMEC) Collaborative Group
Publikováno v:
Environmental Sciences Europe, Vol 35, Iss 1, Pp 1-13 (2023)
Abstract Objective Little is known about the magnitude of the relation of ambient fine particulate matter (PM2.5) constituents with hyperuricemia and serum uric acid (SUA) levels. Therefore, we aimed to assess the associations and to identify the mos
Externí odkaz:
https://doaj.org/article/a027e9a074ef4186949a1ca960394533
Autor:
Fan Jiang, Jianying Zhou, Liandong Zuo, Xuewei Tang, Jian Li, Fatao Li, Tianhe Yang, Yanxia Qu, Junhui Wan, Can Liao, Dongzhi Li
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Background: Thalassemia is the most prevalent monogenic disorder caused by an imbalance between the α- and β-globin chains as a result of pathogenic variants in the α- or β-globin genes. Novel or complex structural changes in globin genes are maj
Externí odkaz:
https://doaj.org/article/522edf8484e746af9f1b68bbd4fa9dd1
Autor:
Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao, Diange Yang
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 1, p 6 (2023)
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the
Externí odkaz:
https://doaj.org/article/a7dd8107341d4bed977ddca03073b0ee
Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1228-1240 (2021)
Abstract Ears are responsible for the sense of hearing, which is indispensable for a human to understand the environment. It is similar to an intelligent vehicle where acoustical data contains useful and valuable information to comprehend the environ
Externí odkaz:
https://doaj.org/article/30ad6e2088a34595a4133e282c8f585b
Autor:
Fan Jiang, Liandong Zuo, Dongzhi Li, Jian Li, Xuewei Tang, Guilan Chen, Jianying Zhou, Hang Lu, Can Liao
Publikováno v:
BMC Medical Genetics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Individuals with δβ-thalassemia/HPFH and β-thalassemia usually present with intermedia or thalassemia major. No large-scale survey on HPFH/δβ-thalassemia in southern China has been reported to date. The purpose of this study
Externí odkaz:
https://doaj.org/article/8de632d250ee45c58478573c9584d459
Publikováno v:
Automotive Innovation. 5:43-56
Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1228-1240 (2021)
Ears are responsible for the sense of hearing, which is indispensable for a human to understand the environment. It is similar to an intelligent vehicle where acoustical data contains useful and valuable information to comprehend the environment to e
Autor:
Benny Wijaya, Kun Jiang, Mengmeng Yang, Tuopu Wen, Xuewei Tang, Diange Yang, Yanhai Ma, Ricky Albert
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Autor:
Shuixin Deng, Lei Deng, Ting Sun, Shijie Yu, Li Wang, Baohua Chen, Hao Hu, Yusen Xie, Hanxi Yin, Junwei Xiao, Xinglong Cui, Yeyu Fu, Xuewei Tang, Ruirui Song, Lin Li, Shanpeng Xiao, Yuan Li, Yizheng Li
Publikováno v:
Electronics; Volume 12; Issue 10; Pages: 2306
Printed circuit board (PCB) defect detection is critical for ensuring the safety of electronic devices, especially in the space industry. Non-reference-based methods, typically the deep learning methods, suffer from a large amount of annotated data r