Zobrazeno 1 - 10
of 2 426
pro vyhledávání: '"Li Danyang"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The field of education is undergoing a digital transformation, and intelligent teaching, as an essential component, combined with modern technology, has contributed significantly to the innovation of teaching methods and learning effects. The innovat
Externí odkaz:
https://doaj.org/article/b196da4d9b944e72b61cf1afec141273
Publikováno v:
Di-san junyi daxue xuebao, Vol 44, Iss 9, Pp 891-897 (2022)
Objective To determine the effect of sterol regulatory element binding proteins cleavage activating protein (SCAP) on foam cell formation in vascular smooth muscle cells (VSMCs). Methods LV-SCAP were constructed with LV-SCAP, and LV-Control group ser
Externí odkaz:
https://doaj.org/article/6edd60159df44c209246bbd69575e295
There has been a growing interest in extracting formal descriptions of the system behaviors from data. Signal Temporal Logic (STL) is an expressive formal language used to describe spatial-temporal properties with interpretability. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2405.06670
Single-photon terahertz (THz) detection is one of the most demanding technology for a variety of fields and could lead to many breakthroughs. Although its significant progress has been made in the last two decades, operating it at room temperature st
Externí odkaz:
http://arxiv.org/abs/2403.05833
Autor:
Hong, Sirui, Lin, Yizhang, Liu, Bang, Liu, Bangbang, Wu, Binhao, Li, Danyang, Chen, Jiaqi, Zhang, Jiayi, Wang, Jinlin, Zhang, Li, Zhang, Lingyao, Yang, Min, Zhuge, Mingchen, Guo, Taicheng, Zhou, Tuo, Tao, Wei, Wang, Wenyi, Tang, Xiangru, Lu, Xiangtao, Zheng, Xiawu, Liang, Xinbing, Fei, Yaying, Cheng, Yuheng, Xu, Zongze, Wu, Chenglin
Large Language Model (LLM)-based agents have demonstrated remarkable effectiveness. However, their performance can be compromised in data science scenarios that require real-time data adjustment, expertise in optimization due to complex dependencies
Externí odkaz:
http://arxiv.org/abs/2402.18679
Autor:
Li, Danyang, Tron, Roberto
Time-series data can represent the behaviors of autonomous systems, such as drones and self-driving cars. The task of binary and multi-class classification for time-series data has become a prominent area of research. Neural networks represent a popu
Externí odkaz:
http://arxiv.org/abs/2402.12397
Imitation learning methods have demonstrated considerable success in teaching autonomous systems complex tasks through expert demonstrations. However, a limitation of these methods is their lack of interpretability, particularly in understanding the
Externí odkaz:
http://arxiv.org/abs/2402.10310
We use LCOGT observations (MJD $59434-59600$) with a total exposure time of $\simeq 50$ hours and a median cadence of $0.5$ days to measure the inter-band time delays (with respect to $u$) in the $g$, $r$, and $i$ continua of a highly variable AGN, 6
Externí odkaz:
http://arxiv.org/abs/2401.12524
Knowledge distillation is one of the methods for model compression, and existing knowledge distillation techniques focus on how to improve the distillation algorithm so as to enhance the distillation efficdiency. This paper introduces dynamic increme
Externí odkaz:
http://arxiv.org/abs/2311.13811
Autor:
Li, Danyang, Deng, Quanling
The study of quantum three-body problems has been centered on low-energy states that rely on accurate numerical approximation. Recently, isogeometric analysis (IGA) has been adopted to solve the problem as an alternative but more robust (with respect
Externí odkaz:
http://arxiv.org/abs/2210.06832