Zobrazeno 1 - 10
of 12 759
pro vyhledávání: '"Shijin"'
Publikováno v:
Water Policy, Vol 24, Iss 9, Pp 1394-1413 (2022)
To achieve the stability of grain production, it is necessary to analyze the impact of groundwater change on crop yield. In this paper, the AquaCrop model was established in the Shijin irrigation district. First, the meteorological data, crop data, m
Externí odkaz:
https://doaj.org/article/68d181e1dc714e669e9bb302b9761e15
Akademický článek
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Autor:
Li, Fawen1 (AUTHOR) lifawen@tju.edu.cn, Liu, Yang1 (AUTHOR), Yan, Wenhui1 (AUTHOR), Zhao, Yong2 (AUTHOR) zhaoyong@iwhr.com, Jiang, Rengui3 (AUTHOR)
Publikováno v:
Theoretical & Applied Climatology. Jan2020, Vol. 139 Issue 1/2, p33-44. 12p. 1 Diagram, 10 Charts, 4 Graphs, 1 Map.
Autor:
Sun, Xinjie, Liu, Qi, Zhang, Kai, Shen, Shuanghong, Wang, Fei, Zhuang, Yan, Zhang, Zheng, Gong, Weiyin, Wang, Shijin, Yang, Lina, Huo, Xingying
Cognitive diagnosis (CD) aims to reveal students' proficiency in specific knowledge concepts. With the increasing adoption of intelligent education applications, accurately assessing students' knowledge mastery has become an urgent challenge. Althoug
Externí odkaz:
http://arxiv.org/abs/2412.04488
We consider data-driven inventory and pricing decisions in the feature-based newsvendor problem, where demand is influenced by both price and contextual features and is modeled without any structural assumptions. The unknown demand distribution resul
Externí odkaz:
http://arxiv.org/abs/2411.08631
Large language models have been successfully applied to programming assistance tasks, such as code completion, code insertion, and instructional code editing. However, these applications remain insufficiently automated and struggle to effectively int
Externí odkaz:
http://arxiv.org/abs/2410.07002
Graph-structured data is integral to many applications, prompting the development of various graph representation methods. Graph autoencoders (GAEs), in particular, reconstruct graph structures from node embeddings. Current GAE models primarily utili
Externí odkaz:
http://arxiv.org/abs/2410.03396
Publikováno v:
Journal of Environmental Informatics; Jun2022, Vol. 39 Issue 2, p152-164, 13p
Publikováno v:
Asian Agricultural Research. Aug2019, Vol. 11 Issue 8, p77-82. 6p.
Autor:
Hong, Bin, Wu, Jinze, Liu, Jiayu, Ding, Liang, Sha, Jing, Zhang, Kai, Wang, Shijin, Huang, Zhenya
In recent years, the breakthrough of Large Language Models (LLMs) offers new ideas for achieving universal methods on graph data. The common practice of converting graphs into natural language for LLMs, which refers to graph flattening, exhibits good
Externí odkaz:
http://arxiv.org/abs/2409.14880