Zobrazeno 1 - 10
of 1 975
pro vyhledávání: '"Li Weiming"'
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 12, Pp 151-158 (2023)
In order to obtain thermal expansion silicone rubber for composite soft molding with excellent performance and wide adaptability, the flow, heat resistance, thermal expansion and elastic properties of three kinds of thermal expansion silicone rubber
Externí odkaz:
https://doaj.org/article/4bd346bfe9f3406180bf47401a62d99d
Publikováno v:
网络与信息安全学报, Vol 7, Iss 5, Pp 113-122 (2021)
For the intelligent vulnerability detection, the system extracts the graph structured source code slices according to the vulnerability characteristics from the program dependency graph of source code, and then presents the graph structured slice inf
Externí odkaz:
https://doaj.org/article/2660b27a345548e4a20851a433eb9701
Autor:
Ma, Jianjun, Song, Yuheng, Zhang, Mingxia, Liu, Guohao, Li, Weiming, Federici, John F., Mittleman, Daniel M.
With the growing demand for higher wireless data rates, the interest in extending the carrier frequency of wireless links to the terahertz (THz) range has significantly increased. For long-distance outdoor wireless communications, THz channels may su
Externí odkaz:
http://arxiv.org/abs/2409.00114
Large language models (LLMs) demonstrate extraordinary abilities in a wide range of natural language processing (NLP) tasks. In this paper, we show that, beyond text understanding capability, LLMs are capable of processing text layouts that are denot
Externí odkaz:
http://arxiv.org/abs/2407.05750
Autor:
ZOU Caimei (邹彩媚), ZENG Junfang (曾君芳), HUANG Jieying (黄洁英), ZHUANG Jingyi (庄静仪), LI Weiming (李伟明), HAO Li (郝丽), LI Xiaochan (李晓婵), LUO Juanjuan (罗娟娟), CAI Hongtao (蔡红涛)
Publikováno v:
中西医结合护理, Vol 7, Iss 3, Pp 93-97 (2021)
Objective To investigate the status and influencing factors of clinical communication competency among male psychiatric nurses in Guangdong. Methods A cross-sectional survey of 191 male psychiatric nurses was conducted using the Nurses’ clinical Co
Externí odkaz:
https://doaj.org/article/9179bf7eeee74a0d9c533f2a33ebb38c
Autor:
Hao, Xiaoshuai, Wei, Mengchuan, Yang, Yifan, Zhao, Haimei, Zhang, Hui, Zhou, Yi, Wang, Qiang, Li, Weiming, Kong, Lingdong, Zhang, Jing
Driving systems often rely on high-definition (HD) maps for precise environmental information, which is crucial for planning and navigation. While current HD map constructors perform well under ideal conditions, their resilience to real-world challen
Externí odkaz:
http://arxiv.org/abs/2406.12214
Autor:
Zhang, Chengyang, Li, Weiming, Li, Gang, Song, Huina, Song, Zhaohui, Wang, Xueqian, Plaza, Antonio
Detection of changes in heterogeneous remote sensing images is vital, especially in response to emergencies like earthquakes and floods. Current homogenous transformation-based change detection (CD) methods often suffer from high computation and memo
Externí odkaz:
http://arxiv.org/abs/2405.01920
Point scene understanding is a challenging task to process real-world scene point cloud, which aims at segmenting each object, estimating its pose, and reconstructing its mesh simultaneously. Recent state-of-the-art method first segments each object
Externí odkaz:
http://arxiv.org/abs/2403.16431
Adversarial inverse reinforcement learning (AIRL) stands as a cornerstone approach in imitation learning, yet it faces criticisms from prior studies. In this paper, we rethink AIRL and respond to these criticisms. Criticism 1 lies in Inadequate Polic
Externí odkaz:
http://arxiv.org/abs/2403.14593
Depth-based 3D hand pose estimation is an important but challenging research task in human-machine interaction community. Recently, dense regression methods have attracted increasing attention in 3D hand pose estimation task, which provide a low comp
Externí odkaz:
http://arxiv.org/abs/2403.13405