Zobrazeno 1 - 10
of 15 409
pro vyhledávání: '"YANG SUN"'
Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates
The steam drum water level is a critical parameter that directly impacts the safety and efficiency of power plant operations. However, predicting the drum water level in boilers is challenging due to complex non-linear process dynamics originating fr
Externí odkaz:
http://arxiv.org/abs/2407.11180
Autor:
Liu, Chenxi, Xu, Qianxiong, Miao, Hao, Yang, Sun, Zhang, Lingzheng, Long, Cheng, Li, Ziyue, Zhao, Rui
Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. R
Externí odkaz:
http://arxiv.org/abs/2406.01638
In sophisticated existing Text-to-SQL methods exhibit errors in various proportions, including schema-linking errors (incorrect columns, tables, or extra columns), join errors, nested errors, and group-by errors. Consequently, there is a critical nee
Externí odkaz:
http://arxiv.org/abs/2405.09593
We reply to the comment cond-mat/0008098 by Yang, Sun, and Chang on our paper "Theory of Diluted Magnetic Semiconductor Ferromagnetism", Phys. Rev. Lett. 84, 5628 (2000).
Comment: 1 page, Latex
Comment: 1 page, Latex
Externí odkaz:
http://arxiv.org/abs/cond-mat/0009453
Autor:
Li, Zhishuai, Wang, Xiang, Zhao, Jingjing, Yang, Sun, Du, Guoqing, Hu, Xiaoru, Zhang, Bin, Ye, Yuxiao, Li, Ziyue, Zhao, Rui, Mao, Hangyu
Recent advancements in Text-to-SQL (Text2SQL) emphasize stimulating the large language models (LLM) on in-context learning, achieving significant results. Nevertheless, they face challenges when dealing with verbose database information and complex u
Externí odkaz:
http://arxiv.org/abs/2403.09732
Autor:
Zhang, Bin, Ye, Yuxiao, Du, Guoqing, Hu, Xiaoru, Li, Zhishuai, Yang, Sun, Liu, Chi Harold, Zhao, Rui, Li, Ziyue, Mao, Hangyu
Large Language Models (LLMs) have emerged as a powerful tool in advancing the Text-to-SQL task, significantly outperforming traditional methods. Nevertheless, as a nascent research field, there is still no consensus on the optimal prompt templates an
Externí odkaz:
http://arxiv.org/abs/2403.02951
Traffic prediction, an essential component for intelligent transportation systems, endeavours to use historical data to foresee future traffic features at specific locations. Although existing traffic prediction models often emphasize developing comp
Externí odkaz:
http://arxiv.org/abs/2401.10134
The previous state-of-the-art (SOTA) method achieved a remarkable execution accuracy on the Spider dataset, which is one of the largest and most diverse datasets in the Text-to-SQL domain. However, during our reproduction of the business dataset, we
Externí odkaz:
http://arxiv.org/abs/2310.18752
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-5 (2024)
Abstract Background Coronary artery perforation (CAP) is a rare but serious complication of Percutaneous coronary intervention (PCI) with significant morbidity and mortality. Traditional management involves the use of covered stents, yet alternative
Externí odkaz:
https://doaj.org/article/c1f8943db13a426a9dad930ff2debbc4
Autor:
Chuanyu DUANMU, Yang SUN, Yu ZHANG, Linlin FAN, Jianzhong ZHOU, Wei SU, Runmeng LUO, Liang ZHONG, Xiaoli LIU
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 22, Pp 200-207 (2024)
To optimize the extraction process of blackberry polysaccharide and investigate its hypoglycemic activity in vitro, this study used enzymatic extraction to extract blackberry polysaccharide. The effects of pectinase addition, material-liquid ratio, e
Externí odkaz:
https://doaj.org/article/7a5ba1d6725045799c47310cc63e5da8