Zobrazeno 1 - 10
of 659
pro vyhledávání: '"Liao Feng"'
Publikováno v:
Yuanzineng kexue jishu, Vol 57, Iss 2, Pp 372-378 (2023)
As an important part of radiation therapy quality assurance, dose verification can verify the accuracy of the treatment dose to the patient’s tumor target area before treatment. At present, the dose verification technology has developed to the stag
Externí odkaz:
https://doaj.org/article/5297aef002944c718c08ef595b53060d
Autor:
Xiwei Sun, Caibi Feng, Liao Feng, Ticheng Xiao, Xinran Zhao, Hong Liu, Zhiqiu Wang, Chen Chen, Shoulin Zhou, Dinglun Zhou
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract The HIV/AIDS cases and proportion in older people are continuously and rapidly increasing in China, especially in males. However, the transmission mechanism is not well understood. This study aims to explore the transmission mechanism of HIV
Externí odkaz:
https://doaj.org/article/0d5488962a024f778ebf40216a8c8dbe
Autor:
Zong‐dong Zhu, Cheng‐wei Xiao, Bo Tan, Xiao‐ming Tang, Dan Wei, Jia‐bin Yuan, Jiang Hu, Liao Feng
Publikováno v:
Orthopaedic Surgery, Vol 13, Iss 1, Pp 244-252 (2021)
Objective To assess the long‐term clinical efficacy of TiRobot‐assisted percutaneous cannulated screw fixation in the treatment of femoral neck fractures. Methods This retrospective study included 50 patients with unilateral femoral neck fracture
Externí odkaz:
https://doaj.org/article/782493a38b884523aba84e5bc610f81f
Autor:
Xinyin Xu, Jing Zeng, Runyou Liu, Yang Liu, Xiaobo Zhou, Lijun Zhou, Ting Dong, Yuxin Cha, Zhuo Wang, Ying Deng, Yu Zhang, Liao Feng, Chen Pu, Xianping Wu, Bo Zhong
Publikováno v:
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-15 (2020)
Abstract Background The COVID-19 spread worldwide quickly. Exploring the epidemiological characteristics could provide a basis for responding to imported cases abroad and to formulate prevention and control strategies in areas where COVID-19 is still
Externí odkaz:
https://doaj.org/article/75c08ff3bd304354bd7e23ceae5b1728
Autor:
Hsu, Chan-Jan, Chen, Yi-Chang, Liao, Feng-Ting, Ho, Pei-Chen, Wang, Yu-Hsiang, Hsu, Po-Chun, Shiu, Da-shan
We introduce "Generative Fusion Decoding" (GFD), a novel shallow fusion framework, utilized to integrate Large Language Models (LLMs) into multi-modal text recognition systems such as automatic speech recognition (ASR) and optical character recogniti
Externí odkaz:
http://arxiv.org/abs/2405.14259
Breeze-7B is an open-source language model based on Mistral-7B, designed to address the need for improved language comprehension and chatbot-oriented capabilities in Traditional Chinese. This technical report provides an overview of the additional pr
Externí odkaz:
http://arxiv.org/abs/2403.02712
Many practical optimization problems lack strong convexity. Fortunately, recent studies have revealed that first-order algorithms also enjoy linear convergences under various weaker regularity conditions. While the relationship among different condit
Externí odkaz:
http://arxiv.org/abs/2312.16775
The evaluation of large language models is an essential task in the field of language understanding and generation. As language models continue to advance, the need for effective benchmarks to assess their performance has become imperative. In the co
Externí odkaz:
http://arxiv.org/abs/2309.08448
In this work, we propose a method to create domain-sensitive speech recognition models that utilize textual domain information by conditioning its generation on a given text prompt. This is accomplished by fine-tuning a pre-trained, end-to-end model
Externí odkaz:
http://arxiv.org/abs/2307.10274
The spectral bundle method developed by Helmberg and Rendl is well-established for solving large-scale semidefinite programs (SDPs) in the dual form, especially when the SDPs admit $\textit{low-rank primal solutions}$. Under mild regularity condition
Externí odkaz:
http://arxiv.org/abs/2307.07651