Zobrazeno 1 - 10
of 607
pro vyhledávání: '"Li, QingChun"'
Autor:
Li, Qingchun, Chen, Haomeng
In this paper, we investigate the Cauchy problem of the parabolic-parabolic Keller-Segel system with the logistic-type term $au-bu^\gamma$ on $\mathbb{R}^N, N\geq2$. We discuss the global boundedness of classical solutions with nonnegative bounded an
Externí odkaz:
http://arxiv.org/abs/2410.08648
The spread of COVID-19 revealed that transmission risk patterns are not homogenous across different cities and communities, and various heterogeneous features can influence the spread trajectories. Hence, for predictive pandemic monitoring, it is ess
Externí odkaz:
http://arxiv.org/abs/2209.09448
Publikováno v:
In Sensors and Actuators: A. Physical 1 November 2024 378
In traditional speech denoising tasks, clean audio signals are often used as the training target, but absolutely clean signals are collected from expensive recording equipment or in studios with the strict environments. To overcome this drawback, we
Externí odkaz:
http://arxiv.org/abs/2111.00242
The objective of this research is to explore the temporal importance of community-scale human activity features for rapid assessment of flood impacts. Ultimate flood impact data, such as flood inundation maps and insurance claims, becomes available o
Externí odkaz:
http://arxiv.org/abs/2106.08370
Autor:
Hu, Xiaowen, Yang, Xiaoyong, Ling, Mingxing, Xu, Jianbing, Du, Gaofeng, Li, Qingchun, Cao, Minqiang, Wu, Zhaojian
Publikováno v:
In Ore Geology Reviews May 2024 168
Autor:
Luo, Hong, Zhang, Yuming, Yu, Jianwu, Qian, Jun, Li, Qingchun, Liu, Jian'an, Zhang, Yingying, Liao, Kai
Publikováno v:
In Case Studies in Thermal Engineering May 2024 57
The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments current status through the use of deep learning framework on fine-grained traffic data. Predictive flood monitori
Externí odkaz:
http://arxiv.org/abs/2104.02276
New York has become one of the worst-affected COVID-19 hotspots and a pandemic epicenter due to the ongoing crisis. This paper identifies the impact of the pandemic and the effectiveness of government policies on human mobility by analyzing multiple
Externí odkaz:
http://arxiv.org/abs/2102.01918
Autor:
Li, Qingchun, Yang, Yang, Wang, Wangqiu, Lee, Sanghyeon, Xiao, Xin, Gao, Xinyu, Oztekin, Bora, Fan, Chao, Mostafavi, Ali
The objective of this study was to investigate the importance of multiple county-level features in the trajectory of COVID-19. We examined feature importance across 2,787 counties in the United States using a data-driven machine learning model. We tr
Externí odkaz:
http://arxiv.org/abs/2101.03458