Zobrazeno 1 - 10
of 9 142
pro vyhledávání: '"SUN LIANG"'
Time series subsequence anomaly detection is an important task in a large variety of real-world applications ranging from health monitoring to AIOps, and is challenging due to the following reasons: 1) how to effectively learn complex dynamics and de
Externí odkaz:
http://arxiv.org/abs/2411.17218
In recent years, the rapid pace of urbanization has posed profound challenges globally, exacerbating environmental concerns and escalating traffic congestion in metropolitan areas. To mitigate these issues, Advanced Air Mobility (AAM) has emerged as
Externí odkaz:
http://arxiv.org/abs/2412.06807
Weather and climate forecasting is vital for sectors such as agriculture and disaster management. Although numerical weather prediction (NWP) systems have advanced, forecasting at the subseasonal-to-seasonal (S2S) scale, spanning 2 to 6 weeks, remain
Externí odkaz:
http://arxiv.org/abs/2411.16728
Time series analysis is widely used in many fields such as power energy, economics, and transportation, including different tasks such as forecasting, anomaly detection, classification, etc. Missing values are widely observed in these tasks, and ofte
Externí odkaz:
http://arxiv.org/abs/2410.06652
In the field of weather forecasting, traditional models often grapple with discretization errors and time-dependent source discrepancies, which limit their predictive performance. In this paper, we present WeatherODE, a novel one-stage, physics-drive
Externí odkaz:
http://arxiv.org/abs/2410.06560
Time series forecasting has played a significant role in many practical fields. But time series data generated from real-world applications always exhibits high variance and lots of noise, which makes it difficult to capture the inherent periodic pat
Externí odkaz:
http://arxiv.org/abs/2410.05726
Autor:
Qin, Dalin, Li, Yehui, Chen, Weiqi, Zhu, Zhaoyang, Wen, Qingsong, Sun, Liang, Pinson, Pierre, Wang, Yi
Complex distribution shifts are the main obstacle to achieving accurate long-term time series forecasting. Several efforts have been conducted to capture the distribution characteristics and propose adaptive normalization techniques to alleviate the
Externí odkaz:
http://arxiv.org/abs/2409.19718
Autor:
Yang, Liqun, Yang, Jian, Wei, Chaoren, Niu, Guanglin, Zhang, Ge, Wang, Yunli, ChaI, Linzheng, Xia, Wanxu, Guo, Hongcheng, Zhang, Shun, Liu, Jiaheng, Yin, Yuwei, Peng, Junran, Ma, Jiaxin, Sun, Liang, Li, Zhoujun
Fuzzing is an important dynamic program analysis technique designed for finding vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malicious input to cause crashes, buffer overflows, memory errors, and exce
Externí odkaz:
http://arxiv.org/abs/2409.01944
Autor:
Sun, Liang, Chen, Mohan
The recently proposed machine learning-based physically-constrained nonlocal (MPN) kinetic energy density functional (KEDF) can be used for simple metals and their alloys [Phys. Rev. B 109, 115135 (2024)]. However, the MPN KEDF does not perform well
Externí odkaz:
http://arxiv.org/abs/2408.15062
Autor:
Chen, Bo, Feng, Li, Zhang, Guang, Li, Hui, He, Lingping, Song, Kefei, Guo, Quanfeng, Li, Ying, Huang, Yu, Li, Jingwei, Zhao, Jie, Xue, Jianchao, Li, Gen, Shi, Guanglu, Song, Dechao, Lu, Lei, Ying, Beili, Wang, Haifeng, Dai, Shuang, Wang, Xiaodong, Mao, Shilei, Wang, Peng, Wu, Kun, Ren, Shuai, Sun, Liang, Yang, Xianwei, Xia, Mingyi, Zhang, Xiaoxue, Zhou, Peng, Tao, Chen, Liu, Yang, Yu, Sibo, Li, Xinkai, Li, Shuting, Zhang, Ping, Li, Qiao, Tian, Zhengyuan, Zhou, Yue, Tian, Jun, Shan, Jiahui, Liu, Xiaofeng, Jing, Zhichen, Gan, Weiqun
The Lyman-alpha Solar Telescope (LST) on board the Advanced Space-based Solar Observatory (ASO-S) is the first payload to image the full solar disk and the solar corona in both white-light (WL) and ultraviolet (UV) H I Lya, extending up to 2.5 solar
Externí odkaz:
http://arxiv.org/abs/2408.01937