Zobrazeno 1 - 10
of 1 923
pro vyhledávání: '"WANG Liyuan"'
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 3, Pp 276-287 (2024)
[Objective] This study was aimed to understand the spatiotemporal changes in extreme climate and its influence on vegetation. [Methods] Based on daily meteorological data (1960—2020) from 115 weather stations in the Qinling-Daba mountains (QBMs) an
Externí odkaz:
https://doaj.org/article/0afa78e7eaeb4e69819c9235ce1f7931
Autor:
WANG Liyuan, ZHANG Jingchun, SUN Erju, LYU Xiaohui, WEI Enze, WENG Hengzhi, WANG Zhiyi, LU Yi
Publikováno v:
Cailiao Baohu, Vol 57, Iss 6, Pp 36-42 (2024)
In order to improve the corrosion resistance of welded joints of Titanium(Ti) alloy, using TA2 welded joints as the substrate, a combination of micro-arc oxidation and low-energy modification methods was used to prepare superhydrophobic coatings in t
Externí odkaz:
https://doaj.org/article/4d774a851a1e4188b2f43888c463c44c
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 1, Pp 113-121 (2024)
[Objective] The Qinling-Daba Mountains region (QDM) is the important geographical transitional zone across the north and south of China. A comprehensive and systematic analysis of soil erosion in QDM is essential for the planning of soil and water co
Externí odkaz:
https://doaj.org/article/38a5da522ff94103b28507ed00c7b123
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 01, Pp 34-38 (2022)
ObjectiveUsing serum screening test and simulated gastrointestinal fluid digestion stability test to explore whether Oryza sativa recombinant human serum albumin (OsrHSA) has potential allergenicity.MethodsIn this study, 75 serum samples from patient
Externí odkaz:
https://doaj.org/article/14364623aa6e4b8998c87ba4ff5249f5
Large Language Models (LLMs) have emerged as powerful tools for Text-to-SQL tasks, exhibiting remarkable reasoning capabilities. Different from tasks such as math word problems and commonsense reasoning, SQL solutions have a relatively fixed pattern.
Externí odkaz:
http://arxiv.org/abs/2409.14082
In recent years, continual learning with pre-training (CLPT) has received widespread interest, instead of its traditional focus of training from scratch. The use of strong pre-trained models (PTMs) can greatly facilitate knowledge transfer and allevi
Externí odkaz:
http://arxiv.org/abs/2408.08295
The deployment of pre-trained models (PTMs) has greatly advanced the field of continual learning (CL), enabling positive knowledge transfer and resilience to catastrophic forgetting. To sustain these advantages for sequentially arriving tasks, a prom
Externí odkaz:
http://arxiv.org/abs/2407.05229
Autor:
Zhang, Hao, Jiang, Longxiang, Chu, Xinkun, Wen, Yong, Li, Luxiong, Xiao, Yonghao, Wang, Liyuan
The great success of Physics-Informed Neural Networks (PINN) in solving partial differential equations (PDEs) has significantly advanced our simulation and understanding of complex physical systems in science and engineering. However, many PINN-like
Externí odkaz:
http://arxiv.org/abs/2405.20000
Autor:
Chen, Jiachen, Huang, Danyang, Wang, Liyuan, Lunetta, Kathryn L., Mukherjee, Debarghya, Cheng, Huimin
Node classification is a fundamental task, but obtaining node classification labels can be challenging and expensive in many real-world scenarios. Transfer learning has emerged as a promising solution to address this challenge by leveraging knowledge
Externí odkaz:
http://arxiv.org/abs/2405.16672
Publikováno v:
Polish Maritime Research, Vol 26, Iss 1, Pp 145-152 (2019)
This paper is concerned with sampled-data leader following consensus of multiple unmanned surface vehicle (MUSV) systems with random switching network topologies and wave-induced disturbance. By modelling the switching of network topologies with the
Externí odkaz:
https://doaj.org/article/a3526a167ae447ed9ef6e315533c8475