Zobrazeno 1 - 10
of 1 498
pro vyhledávání: '"WU Hang"'
Autor:
Chen Xiongying, Zhu Hua, Wu Hang, Cheng Jian, Zhou Jingjing, Feng Yuan, Liu Rui, Wang Yun, Zhang Zhifang, Feng Lei, Zhou Yuan, Wang Gang
Publikováno v:
Sichuan jingshen weisheng, Vol 36, Iss 4, Pp 294-300 (2023)
BackgroundBeing complex and highly heterogeneous with regard to the etiology and clinical manifestations of depression， neuroimaging studies make a breakthrough for exploring the biological subtypes of depression， while the current data-driven ap
Externí odkaz:
https://doaj.org/article/c57a42548d964af186dc8c4142984396
Publikováno v:
Dianzi Jishu Yingyong, Vol 49, Iss 4, Pp 63-67 (2023)
Thermostat plays an important role in people′s production, life and scientific research, such as the measurement and compensation of temperature compensated crystal oscillator parameters. This paper designs and implements a software-controlled port
Externí odkaz:
https://doaj.org/article/23b76dbac43443c58b4f65a218375e92
Robust localization is the cornerstone of autonomous driving, especially in challenging urban environments where GPS signals suffer from multipath errors. Traditional localization approaches rely on high-definition (HD) maps, which consist of precise
Externí odkaz:
http://arxiv.org/abs/2407.08561
Autor:
Wu, Hang, Zhang, Zhenghao, Lin, Siyuan, Qin, Tong, Pan, Jin, Zhao, Qiang, Xu, Chunjing, Yang, Ming
Bird's-eye-view (BEV) representation is crucial for the perception function in autonomous driving tasks. It is difficult to balance the accuracy, efficiency and range of BEV representation. The existing works are restricted to a limited perception ra
Externí odkaz:
http://arxiv.org/abs/2407.08526
Autor:
Shi, Wenqi, Xu, Ran, Zhuang, Yuchen, Yu, Yue, Sun, Haotian, Wu, Hang, Yang, Carl, Wang, May D.
Despite their improved capabilities in generation and reasoning, adapting large language models (LLMs) to the biomedical domain remains challenging due to their immense size and corporate privacy. In this work, we propose MedAdapter, a unified post-h
Externí odkaz:
http://arxiv.org/abs/2405.03000
In recent advancements in Conversational Large Language Models (LLMs), a concerning trend has emerged, showing that many new base LLMs experience a knowledge reduction in their foundational capabilities following Supervised Fine-Tuning (SFT). This pr
Externí odkaz:
http://arxiv.org/abs/2403.02513
Publikováno v:
Aslib Journal of Information Management, 2023, Vol. 77, Issue 1, pp. 1-26.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AJIM-02-2023-0055
Autor:
Shi, Wenqi, Xu, Ran, Zhuang, Yuchen, Yu, Yue, Zhang, Jieyu, Wu, Hang, Zhu, Yuanda, Ho, Joyce, Yang, Carl, Wang, May D.
Large language models (LLMs) have demonstrated exceptional capabilities in planning and tool utilization as autonomous agents, but few have been developed for medical problem-solving. We propose EHRAgent, an LLM agent empowered with a code interface,
Externí odkaz:
http://arxiv.org/abs/2401.07128
Publikováno v:
Jixie qiangdu, Vol 39, Pp 386-391 (2017)
Aiming at the loosening of bolt connection in the rotating mechanism under dynamic tension compression and shear load,the failure mechanism and its influencing factors are studied by using virtual prototyping technology and finite element analysis me
Externí odkaz:
https://doaj.org/article/602059fcf38542d6804b7f2ca72bf267
Publikováno v:
Gong-kuang zidonghua, Vol 36, Iss 4, Pp 14-17 (2010)
In order to forewarn outburst coal in process of tunnel drifting in high outburst mine, so as to eliminate hidden dangers early and prevent disaster, building of detailed geological model of outburst coal was researched and the normal pitch between t
Externí odkaz:
https://doaj.org/article/99b677a72fbe4d7391a907cc7d481f32