Zobrazeno 1 - 10
of 4 928
pro vyhledávání: '"HUANG Dong"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 734-742 (2024)
Purposes How to perform bias-correction for precipitation data based on terrain information has been an important problem in meteorological big data research. However, the existing precipitation terrain-based bias-correction methods mostly suffer fro
Externí odkaz:
https://doaj.org/article/ac9fb95f43394ae88a72fc5d3bcc1e33
Autor:
CHEN Yue-yin, HUANG Dong-yang, WU Wen-jun, WEI Hai-shan, ZHONG Wei-xian, CAI Qing-chun, ZHENG Yuan-xin, GUO Chao
Publikováno v:
Liang you shipin ke-ji, Vol 31, Iss 4, Pp 170-176 (2023)
The temperature changes of grain piles during rice storage in high-temperature and high-humidity grain storage areas were studied under the air-conditioning temperature control mode with a temperature of 22 ℃ and a daily opening time of 13 h and a
Externí odkaz:
https://doaj.org/article/b5c724038db74b0e8fd5d5d55990fe2c
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 11, Pp 135-144 (2022)
Precipitation behavior of σ phase in 23Cr-14Ni high-nitrogen austenitic stainless steel was investigated by empirical formulas, thermodynamic calculations, Gleeble thermo-mechanical simulation, optical microscope, scanning electron microscopy and tr
Externí odkaz:
https://doaj.org/article/fe45fe93e0544c45a1b31f641ded0d48
Autor:
Yingjie Ren, Junshi Li, Yiwen Chen, Jing Wang, Yuxuan Chen, Zhongyan Wang, Zhitong Zhang, Yufeng Chen, Xiaoyi Shi, Lu Cao, Jiayan Zhang, Huang Dong, Cong Yan, Zhihong Li
Publikováno v:
Bioengineering & Translational Medicine, Vol 8, Iss 4, Pp n/a-n/a (2023)
Abstract Microneedles, especially hollow microneedles (HMNs), play an important role in drug delivery, but most of the current HMNs are manufactured based on silicon microfabrication (lithography, etching, etc.), which are slightly conservative due t
Externí odkaz:
https://doaj.org/article/da1a91ff7a594704ae7d920ba875219f
Publikováno v:
Yuanzineng kexue jishu, Vol 56, Iss 1, Pp 22-31 (2022)
Since the Fukushima nuclear accident, the safety of nuclear fuel under accident conditions has been paid more and more attention. As an accident-tolerant fuel, coated particle fuel has become a research hotspot. In this fuel element, a large number o
Externí odkaz:
https://doaj.org/article/0b341bc934814475944edb0471c7985d
Autor:
Zhang, Zixing, Xu, Weixiang, Dong, Zhongren, Wang, Kanglin, Wu, Yimeng, Peng, Jing, Wang, Runming, Huang, Dong-Yan
Computational paralinguistics (ComParal) aims to develop algorithms and models to automatically detect, analyze, and interpret non-verbal information from speech communication, e. g., emotion, health state, age, and gender. Despite its rapid progress
Externí odkaz:
http://arxiv.org/abs/2411.09349
Autor:
Huang, Dong, Zeng, Guangtao, Dai, Jianbo, Luo, Meng, Weng, Han, Qing, Yuhao, Cui, Heming, Guo, Zhijiang, Zhang, Jie M.
As the use of large language models (LLMs) for code generation becomes more prevalent in software development, it is critical to enhance both the efficiency and correctness of the generated code. Existing methods and models primarily focus on the cor
Externí odkaz:
http://arxiv.org/abs/2410.10209
Autor:
Wang, Junming, Sun, Zekai, Guan, Xiuxian, Shen, Tianxiang, Huang, Dong, Zhang, Zongyuan, Duan, Tianyang, Liu, Fangming, Cui, Heming
Existing AGR navigation systems have advanced in lightly occluded scenarios (e.g., buildings) by employing 3D semantic scene completion networks for voxel occupancy prediction and constructing Euclidean Signed Distance Field (ESDF) maps for collision
Externí odkaz:
http://arxiv.org/abs/2410.05079
Autor:
Liu, Jun, Yuan, Geng, Zeng, Weihao, Tang, Hao, Zhang, Wenbin, Lin, Xue, Xu, XiaoLin, Huang, Dong, Wang, Yanzhi
Publikováno v:
Springer Nature - Book Series: Transactions on Computational Science & Computational Intelligence, 2022
In research findings, co-deletion of the 1p/19q gene is associated with clinical outcomes in low-grade gliomas. The ability to predict 1p19q status is critical for treatment planning and patient follow-up. This study aims to utilize a specially MRI-b
Externí odkaz:
http://arxiv.org/abs/2409.19583
Large language models (LLMs) have been widely applied to assist test generation with the source code under test provided as the context. This paper aims to answer the question: If the source code under test is incorrect, will LLMs be misguided when g
Externí odkaz:
http://arxiv.org/abs/2409.09464