Zobrazeno 1 - 10
of 1 168
pro vyhledávání: '"Dong Nan"'
Autor:
Xie Chunhui, Jiang Yi, Shen Xiaozhu, Liu Mengqian, Xu Yiwen, Zhong Wen, Ge Zhonglin, Qian Mingyue, Dong Nan, Gong Chen, Zhang Guanghui
Publikováno v:
Translational Neuroscience, Vol 14, Iss 1, Pp 795-820 (2023)
Accumulating evidence has suggested that thyroid hormone levels affect the prognosis of acute ischemic stroke (AIS), but the results have been inconsistent.
Externí odkaz:
https://doaj.org/article/f27ca75f5bfc49f9af6198e1cae12f34
Autor:
Dong Nan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, a CNN-Bi-LSTM-CRF model is formed by using convolutional neural network combined with Bi-LSTMCRF, and at the same time, with the help of the attention mechanism, which is used to carry out attribute extraction research on the attribute
Externí odkaz:
https://doaj.org/article/96c749af44db4cceba403c7d573fe0d8
Publikováno v:
IEEE Access, Vol 10, Pp 81713-81721 (2022)
Suffering from consistent external disturbances and unavailable kinetic dynamics, a data-driven backstepping sliding-mode control (DBSMC) scheme by the combination of backstepping technique and data-driven sliding-mode control is innovatively propose
Externí odkaz:
https://doaj.org/article/9f4a1e7dd2dc491294d0450841c9e8e4
As a novel 3D scene representation, semantic occupancy has gained much attention in autonomous driving. However, existing occupancy prediction methods mainly focus on designing better occupancy representations, such as tri-perspective view or neural
Externí odkaz:
http://arxiv.org/abs/2410.11228
Autor:
Xia, Zhongyu, Lin, ZhiWei, Wang, Xinhao, Wang, Yongtao, Xing, Yun, Qi, Shengxiang, Dong, Nan, Yang, Ming-Hsuan
Three-dimensional perception from multi-view cameras is a crucial component in autonomous driving systems, which involves multiple tasks like 3D object detection and bird's-eye-view (BEV) semantic segmentation. To improve perception precision, large
Externí odkaz:
http://arxiv.org/abs/2404.02517
Autor:
Lin, Zhiwei, Liu, Zhe, Xia, Zhongyu, Wang, Xinhao, Wang, Yongtao, Qi, Shengxiang, Dong, Yang, Dong, Nan, Zhang, Le, Zhu, Ce
Three-dimensional object detection is one of the key tasks in autonomous driving. To reduce costs in practice, low-cost multi-view cameras for 3D object detection are proposed to replace the expansive LiDAR sensors. However, relying solely on cameras
Externí odkaz:
http://arxiv.org/abs/2403.16440
Publikováno v:
E3S Web of Conferences, Vol 261, p 03047 (2021)
Through the EIQ analysis of the quantity of goods out of storage, the present situation of logistics distribution center is effectively displayed, a better picking method is obtained, and the optimal placement method is found by using the ABC classif
Externí odkaz:
https://doaj.org/article/6dc755863e35464ea4292104b02b946c
Publikováno v:
E3S Web of Conferences, Vol 118, p 02051 (2019)
Electric power load forecasting is not only the sticking point of the safely, operation of whole system, but also the key part of the economical and healthy development of electric power system. The intrinsic single models have shortage, so the synth
Externí odkaz:
https://doaj.org/article/b37aca40c6b2424d9f775997c37f4d81
Existing LiDAR-based 3D object detection methods for autonomous driving scenarios mainly adopt the training-from-scratch paradigm. Unfortunately, this paradigm heavily relies on large-scale labeled data, whose collection can be expensive and time-con
Externí odkaz:
http://arxiv.org/abs/2212.05758
Publikováno v:
MATEC Web of Conferences, Vol 232, p 02024 (2018)
For the purpose of solving the tough problem of the recognition of QR code which is marked on rough and highly reflective metal surface by laser, this work proposes a method of image processing based on multi-feature fusion. This method was requested
Externí odkaz:
https://doaj.org/article/0372bc22231448118c7fb7ada6d82976