Zobrazeno 1 - 10
of 580
pro vyhledávání: '"Yin Miao"'
Autor:
ZHAO Qian-qian, YIN Miao-miao, LI Ya-qing, HUANG Mao-juan, YU Chang-shen, ZHANG Yue, WU Jia-ling
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 4, Pp 273-279 (2024)
Objective To investigate the rehabilitation effects of vestibular rehabilitation in acute brainstem infarction patients with subjective visual vertical (SVV) tilting, and the correlation between the SVV, balance confidence, dizziness/vertigo and walk
Externí odkaz:
https://doaj.org/article/cea899189a1149ac96aeb1b16fa87b93
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 23, Iss 12, Pp 1134-1138 (2023)
Selective dorsal rhizotomy (SDR) is an effective method for the treatment of lower limb spasm, especially the advancement of intraoperative neurophysiological monitoring technology, which can make surgery more and more minimally invasive and accurate
Externí odkaz:
https://doaj.org/article/595037a6e0af4b27bd1e784f28a55b63
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 22, Iss 11, Pp 948-955 (2022)
Objective To explore the rehabilitation effect of virtual reality (VR) technology combined with group mode training in post⁃stroke depression (PSD) patients. Methods A total of 61 PSD patients who were hospitalized in Tianjin Huanhu Hospital, Tianj
Externí odkaz:
https://doaj.org/article/1c6764f1231d4eab9055637462c69e06
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 22, Iss 11, Pp 965-972 (2022)
Objective To investigate the difference between walking and static standing characteristics in stroke patients with and without vestibular symptoms. Methods A total of 82 stroke patients who received rehabilitation treatment in Tianjin Huanhu Hospita
Externí odkaz:
https://doaj.org/article/735de58a16834d7c83b2ee8812509d12
The advancements in large language models (LLMs) have propelled the improvement of video understanding tasks by incorporating LLMs with visual models. However, most existing LLM-based models (e.g., VideoLLaMA, VideoChat) are constrained to processing
Externí odkaz:
http://arxiv.org/abs/2411.12593
3D Gaussian Splatting (3DGS) has emerged as a mainstream for novel view synthesis, leveraging continuous aggregations of Gaussian functions to model scene geometry. However, 3DGS suffers from substantial memory requirements to store the multitude of
Externí odkaz:
http://arxiv.org/abs/2411.06019
Autor:
Yang, Cheng, Sui, Yang, Xiao, Jinqi, Huang, Lingyi, Gong, Yu, Duan, Yuanlin, Jia, Wenqi, Yin, Miao, Cheng, Yu, Yuan, Bo
The emergence of Mixture of Experts (MoE) LLMs has significantly advanced the development of language models. Compared to traditional LLMs, MoE LLMs outperform traditional LLMs by achieving higher performance with considerably fewer activated paramet
Externí odkaz:
http://arxiv.org/abs/2411.01016
Lossy compression is one of the most effective methods for reducing the size of scientific data containing multiple data fields. It reduces information density through prediction or transformation techniques to compress the data. Previous approaches
Externí odkaz:
http://arxiv.org/abs/2409.18295
Autor:
Jia, Wenqi, Liu, Youyuan, Hu, Zhewen, Wang, Jinzhen, Zhang, Boyuan, Niu, Wei, Huang, Junzhou, Kalafatis, Stavros, Jin, Sian, Yin, Miao
Large-scale scientific simulations generate massive datasets that pose significant challenges for storage and I/O. While traditional lossy compression techniques can improve performance, balancing compression ratio, data quality, and throughput remai
Externí odkaz:
http://arxiv.org/abs/2409.05785
Autor:
Niu, Wei, Sanim, Md Musfiqur Rahman, Shu, Zhihao, Guan, Jiexiong, Shen, Xipeng, Yin, Miao, Agrawal, Gagan, Ren, Bin
This work is motivated by recent developments in Deep Neural Networks, particularly the Transformer architectures underlying applications such as ChatGPT, and the need for performing inference on mobile devices. Focusing on emerging transformers (spe
Externí odkaz:
http://arxiv.org/abs/2404.13528