Zobrazeno 1 - 10
of 1 930
pro vyhledávání: '"LIU Yujia"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 1, Pp 157-164 (2024)
Due to the large number of attributes and the low repetition rate in a cross-lingual knowledge graph, it is difficult for an alignment task to embed attribute information efficiently. To solve the problem, an entity alignment model based on attribute
Externí odkaz:
https://doaj.org/article/8f2ddd3a9a5d411a8d123c95ba57984f
Autor:
Liu Tiantian, Chen Xinlu, Wei Ziqi, Han Xue, Liu Yujia, Ma Zhengliang, Xia Tianjiao, Gu Xiaoping
Publikováno v:
Translational Neuroscience, Vol 14, Iss 1, Pp 242709-28 (2023)
Externí odkaz:
https://doaj.org/article/babf27268231425e960ecb2d5d7baa65
Autor:
Meng Lingchen, Liu Yujia
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper proposes a new wireless sensor tunnel monitoring system, comprising TAM sensors, a 5G network, a Zigbee network, and a monitoring center, based on the environmental characteristics of construction tunnels. The ZigBee algorithm enables the
Externí odkaz:
https://doaj.org/article/02f19b69b75144019ce56ac7c8e12e91
Publikováno v:
E3S Web of Conferences, Vol 565, p 02028 (2024)
With the increase of concern of the Sustainable Development, the importance of the emerging the ESG ranting is wildly recognized by global financial institutions, investors, and governments. Cause of that emerging industries environmental performance
Externí odkaz:
https://doaj.org/article/67b4fe062a9741aba660a4544bacc1c2
Autor:
Cheng Yue, Guo Wenyao, Ya Xudong, Shao Shuang, Shao Zhuying, Zhu Yizheng, Zhou Linlin, Chen Jinxin, Wang Xingqi, Liu Yujia
Publikováno v:
Environmental Health and Preventive Medicine, Vol 28, Pp 64-64 (2023)
Background: The risk of low back pain (LBP) increases steeply during adolescence, and adolescents with LBP are more likely to have low back pain in their adult years. This study aimed to investigate the dose-response relationship between daily screen
Externí odkaz:
https://doaj.org/article/fe5ff444bf30434ea0c846487dfa005c
Publikováno v:
应用气象学报, Vol 32, Iss 5, Pp 530-541 (2021)
Deep learning shows great potential in severe convective weather nowcasting. The establishment of deep learning model is inseparable from a large number of training and learning, which is in terms of large capacity and high-quality dataset. Based on
Externí odkaz:
https://doaj.org/article/8d02fb1785ad4db38bb26d518236f28e
With the increasing integration of large lauguage models (LLMs) in education, there is growing interest in using AI agents to support student learning in creative tasks. This study presents an interactive Mentor Agent system named Mentigo, which is d
Externí odkaz:
http://arxiv.org/abs/2409.14228
Publikováno v:
Materials Research Express, Vol 10, Iss 5, p 055301 (2023)
To study the effect of a cross-linking agent on the cross-linking degree and electrical properties of cross-linked polyethylene, different mass fractions of cross-linked polyethylene and their electrical properties were investigated. The cross-linkin
Externí odkaz:
https://doaj.org/article/0ade4539713a40e9a9dfe1d65d88e468
Spiking neural networks (SNNs) are gaining popularity in deep learning due to their low energy budget on neuromorphic hardware. However, they still face challenges in lacking sufficient robustness to guard safety-critical applications such as autonom
Externí odkaz:
http://arxiv.org/abs/2405.20694
Spiking Neural Networks (SNNs) have attracted great attention for their energy-efficient operations and biologically inspired structures, offering potential advantages over Artificial Neural Networks (ANNs) in terms of energy efficiency and interpret
Externí odkaz:
http://arxiv.org/abs/2405.20355