Zobrazeno 1 - 10
of 1 139
pro vyhledávání: '"Ru, Yue"'
Magnetohydrodynamic (MHD) turbulence plays a critical role in many key astrophysical processes such as star formation, acceleration of cosmic rays, and heat conduction. However, its properties are still poorly understood. We explore how to extract th
Externí odkaz:
http://arxiv.org/abs/2409.05739
Due to the increasing complexity of chip design, existing placement methods still have many shortcomings in dealing with macro cells coverage and optimization efficiency. Aiming at the problems of layout overlap, inferior performance, and low optimiz
Externí odkaz:
http://arxiv.org/abs/2407.18499
Deep learning, especially convolutional neural networks (CNNs) and Transformer architectures, have become the focus of extensive research in medical image segmentation, achieving impressive results. However, CNNs come with inductive biases that limit
Externí odkaz:
http://arxiv.org/abs/2407.18070
Autor:
Chen, Xia, Luo, Qin-Yue, Guo, Pei-Jie, Zhou, Hao-Jie, Hu, Qi-Cheng, Wu, Hong-Peng, Shen, Xiao-Wen, Cui, Ru-Yue, Dong, Lei, Wei, Tian-Xing, Xiao, Yu-Hang, Li, De-Ren, Lei, Li, Zhang, Xi, Wang, Jun-Feng, Xiang, Gang
Room-temperature (RT) two-dimensional (2D) van der Waals (vdW) ferromagnets hold immense promise for next-generation spintronic devices for information storage and processing. To achieve high-density energy-efficient spintronic devices, it is essenti
Externí odkaz:
http://arxiv.org/abs/2406.02346
Manually-designed network architectures for thermal infrared pedestrian tracking (TIR-PT) require substantial effort from human experts. AlexNet and ResNet are widely used as backbone networks in TIR-PT applications. However, these architectures were
Externí odkaz:
http://arxiv.org/abs/2402.16570
Deep learning-based methods monopolize the latest research in the field of thermal infrared (TIR) object tracking. However, relying solely on deep learning models to obtain better tracking results requires carefully selecting feature information that
Externí odkaz:
http://arxiv.org/abs/2402.17098
Object detection, a crucial aspect of computer vision, has seen significant advancements in accuracy and robustness. Despite these advancements, practical applications still face notable challenges, primarily the inaccurate detection or missed detect
Externí odkaz:
http://arxiv.org/abs/2402.14309
Designing distributed filter circuits (DFCs) is complex and time-consuming, involving setting and optimizing multiple hyperparameters. Traditional optimization methods, such as using the commercial finite element solver HFSS (High-Frequency Structure
Externí odkaz:
http://arxiv.org/abs/2402.14236
Autor:
Qing-Lei Zeng, Ru-Yue Chen, Xue-Yan Lv, Shuo Huang, Wei-Zhe Li, Ya-Jie Pan, Fu-Sheng Wang, Zu-Jiang Yu
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background and Aims Data on the safety and effectiveness of tenofovir alafenamide (TAF) plus peginterferon-alpha (Peg-IFN-α) in children with chronic hepatitis B (CHB) are lacking. The current study aimed to present the characteristics of f
Externí odkaz:
https://doaj.org/article/5cb64ccc68d84d678f745786e7fc78f0
Autor:
Zeng, Qing-Lei1 (AUTHOR) zengqinglei2009@163.com, Chen, Ru-Yue1 (AUTHOR), Lv, Xue-Yan1 (AUTHOR), Huang, Shuo1 (AUTHOR), Li, Wei-Zhe1 (AUTHOR), Pan, Ya-Jie1 (AUTHOR), Wang, Fu-Sheng2 (AUTHOR) fswang302@163.com, Yu, Zu-Jiang1 (AUTHOR) johnyuem@zzu.edu.cn
Publikováno v:
BMC Infectious Diseases. 8/15/2024, Vol. 24 Issue 1, p1-11. 11p.