Zobrazeno 1 - 10
of 12 339
pro vyhledávání: '"CHEN, Juan"'
Traditional robot simulators focus on physical process modeling and realistic rendering, often suffering from high computational costs, inefficiencies, and limited adaptability. To handle this issue, we propose Behavior Simulation in robotics to emph
Externí odkaz:
http://arxiv.org/abs/2409.15865
Noise suppression in seismic data processing is a crucial research focus for enhancing subsequent imaging and reservoir prediction. Deep learning has shown promise in computer vision and holds significant potential for seismic data processing. Howeve
Externí odkaz:
http://arxiv.org/abs/2408.02187
Autor:
Wang, Zheyu, An, Jiye, Lin, Hui, Zhou, Jiaqiang, Liu, Fang, Chen, Juan, Duan, Huilong, Deng, Ning
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e27228 (2021)
BackgroundIntegrated care enhanced with information technology has emerged as a means to transform health services to meet the long-term care needs of patients with chronic diseases. However, the feasibility of applying integrated care to the emergin
Externí odkaz:
https://doaj.org/article/139b0377570345219f9783e9815d443e
Publikováno v:
JMIR Human Factors, Vol 8, Iss 1, p e23232 (2021)
BackgroundAs the COVID-19 pandemic has become a major public health threat worldwide, it is critical to understand what factors affect individual engagement in protective actions. Because of its authoritarian political system and state-owned media sy
Externí odkaz:
https://doaj.org/article/4225e5b723594dc1ac9fc8c054e28255
Autor:
Deng, Ning, Chen, Juan, Liu, Yiyuan, Wei, Shuoshuo, Sheng, Leiyi, Lu, Rong, Wang, Zheyu, Zhu, Jiarong, An, Jiye, Wang, Bei, Lin, Hui, Wang, Xiuyan, Zhou, Yumin, Duan, Huilong, Ran, Pixin
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 11, p e15978 (2020)
BackgroundMobile health (mHealth) technology is an increasingly recognized and effective method for disease management and has the potential to intervene in pulmonary function, exacerbation risk, and psychological status of patients with chronic obst
Externí odkaz:
https://doaj.org/article/474cc332fa0b473bb5ea8e2da6f40fb6
Autor:
Wang, Zheyu, Huang, Haoce, Cui, Liping, Chen, Juan, An, Jiye, Duan, Huilong, Ge, Huiqing, Deng, Ning
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 4, p e17642 (2020)
BackgroundHealth education emerged as an important intervention for improving the awareness and self-management abilities of chronic disease patients. The development of information technologies has changed the form of patient educational materials f
Externí odkaz:
https://doaj.org/article/7726c50314f642a89d0a1d4b5e795cf2
Medical image segmentation (MIS) aims to finely segment various organs. It requires grasping global information from both parts and the entire image for better segmenting, and clinically there are often certain requirements for segmentation efficienc
Externí odkaz:
http://arxiv.org/abs/2403.16350
Autor:
Chen, Yakun, Shi, Kaize, Wu, Zhangkai, Chen, Juan, Wang, Xianzhi, McAuley, Julian, Xu, Guandong, Yu, Shui
Spatiotemporal data analysis is pivotal across various domains, such as transportation, meteorology, and healthcare. The data collected in real-world scenarios are often incomplete due to device malfunctions and network errors. Spatiotemporal imputat
Externí odkaz:
http://arxiv.org/abs/2402.11558
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 5, Pp 85-91 (2024)
DS theory is widely used in the fields of decision-level information fusion. To suppress the counter-intuitive results such as "one vote rejection" and "trust bias" encountered when utilizing DS theory of combination, as well as the conflict issue be
Externí odkaz:
https://doaj.org/article/aca85f79369b4adb9187a0f2b7c1e01c
Traditional convolutional neural networks are limited to handling Euclidean space data, overlooking the vast realm of real-life scenarios represented as graph data, including transportation networks, social networks, and reference networks. The pivot
Externí odkaz:
http://arxiv.org/abs/2307.00865