Zobrazeno 1 - 10
of 336
pro vyhledávání: '"Zhu, Wenlong"'
Autor:
Chang, Kaiyan, Chen, Zhirong, Zhou, Yunhao, Zhu, Wenlong, wang, kun, Xu, Haobo, Li, Cangyuan, Wang, Mengdi, Liang, Shengwen, Li, Huawei, Han, Yinhe, Wang, Ying
Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large language models, garnering significant attention. Nevertheless, this pap
Externí odkaz:
http://arxiv.org/abs/2407.08473
Autor:
Chang, Kaiyan, Wang, Kun, Yang, Nan, Wang, Ying, Jin, Dantong, Zhu, Wenlong, Chen, Zhirong, Li, Cangyuan, Yan, Hao, Zhou, Yunhao, Zhao, Zhuoliang, Cheng, Yuan, Pan, Yudong, Liu, Yiqi, Wang, Mengdi, Liang, Shengwen, Han, Yinhe, Li, Huawei, Li, Xiaowei
Recent advances in large language models have demonstrated their potential for automated generation of hardware description language (HDL) code from high-level prompts. Researchers have utilized fine-tuning to enhance the ability of these large langu
Externí odkaz:
http://arxiv.org/abs/2403.11202
Autor:
Zhu, Wenlong1,2 (AUTHOR) drcahmed91@gmail.com, Zhang, Mengjia1,2 (AUTHOR) zhangmengjia0210@mail.hzau.edu.cn, Zhang, Mengdi1,2 (AUTHOR) mengdi@webmail.hzau.edu.cn, Jing, Ran1,2 (AUTHOR) jingran@webmail.hzau.edu.cn, Zhou, Jiaru1,2 (AUTHOR) jiaru@webmail.hzau.edu.cn, Cao, Hua1,2 (AUTHOR) caohua@webmail.hzau.edu.cn, Liu, Changcheng1,2 (AUTHOR) changchengliu0813@163.com, Zhu, Hongmei1 (AUTHOR) zhuhongmei@mail.hzau.edu.cn, Ghonaim, Ahmed H.2,3 (AUTHOR), Rouby, Sherin R.4 (AUTHOR) shereen.rouby@vet.bsu.edu.eg, Li, Wentao1,2 (AUTHOR) wentao@mail.hzau.edu.cn
Publikováno v:
Viruses (1999-4915). Aug2024, Vol. 16 Issue 8, p1184. 9p.
Publikováno v:
Online Information Review, 2023, Vol. 47, Issue 6, pp. 1009-1035.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OIR-04-2021-0211
Publikováno v:
In Alexandria Engineering Journal August 2024 101:52-61
Publikováno v:
In Surface & Coatings Technology 15 October 2024 493 Part 2
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 4, Pp 1-9 (2023)
To address the low accuracy of conventional bearing fault diagnosis methods that rely on empirical parameters in the scenarios with different noise degrees, this paper presents an adaptive bearing fault diagnosis method combining empirical mode decom
Externí odkaz:
https://doaj.org/article/8a84237bd3aa43a4b263ab189484bc49
Publikováno v:
In Materials Characterization March 2024 209
Publikováno v:
In Journal of Alloys and Compounds 25 November 2023 965
Publikováno v:
In Archives of Oral Biology November 2023 155