Zobrazeno 1 - 10
of 33 465
pro vyhledávání: '"Hing A"'
Deep learning approaches have been widely adopted for precipitation nowcasting in recent years. Previous studies mainly focus on proposing new model architectures to improve pixel-wise metrics. However, they frequently result in blurry predictions wh
Externí odkaz:
http://arxiv.org/abs/2410.23159
In this paper, we present an enhanced semi-analytic method for calculating quasinormal excitation factors in the eikonal regime, specifically for Schwarzschild black holes. To achieve improved accuracy in our quasinormal mode computations, we extend
Externí odkaz:
http://arxiv.org/abs/2407.18644
Epidermal skin sensors have emerged as a promising approach for continuous and noninvasive monitoring of vital health signals, but to maximize their performance, these sensors must integrate seamlessly with the skin, minimizing impedance while mainta
Externí odkaz:
http://arxiv.org/abs/2407.07400
Autor:
Potechin, Aaron, Tsang, Hing Yin
In this paper, we consider induced subgraphs of the Hamming graph $H(n,3)$. We show that if $U \subseteq \mathbb{Z}_3^n$ and $U$ induces a subgraph of $H(n,3)$ with maximum degree at most $1$ then 1. If $U$ is disjoint from a maximum size independent
Externí odkaz:
http://arxiv.org/abs/2405.15004
Publikováno v:
Universe 10,306 (2024)
The detection of gravitational waves in 2015 ushered in a new era of gravitational wave astronomy capable of probing into the strong field dynamics of black holes and neutron stars. It has opened up an exciting new window for laboratory and space tes
Externí odkaz:
http://arxiv.org/abs/2405.11790
Poleward water vapor transport in the midlatitudes mainly occurs in meandering filaments of intense water vapor transport, spanning thousands of kilometers long and hundreds of kilometers wide and drifting eastward. The water vapor filaments are know
Externí odkaz:
http://arxiv.org/abs/2404.00772
One-bit sampling has emerged as a promising technique in multiple-input multiple-output (MIMO) radar systems due to its ability to significantly reduce data volume and processing requirements. Nevertheless, current detection methods have not adequate
Externí odkaz:
http://arxiv.org/abs/2403.06756
Autor:
Xiong, Wenxin, Chen, Yuming, He, Jiajun, Shi, Zhang-Lei, Hu, Keyuan, So, Hing Cheung, Leung, Chi-Sing
This short communication addresses the problem of elliptic localization with outlier measurements. Outliers are prevalent in various location-enabled applications, and can significantly compromise the positioning performance if not adequately handled
Externí odkaz:
http://arxiv.org/abs/2401.15619
Self-supervised frameworks for representation learning have recently stirred up interest among the remote sensing community, given their potential to mitigate the high labeling costs associated with curating large satellite image datasets. In the rea
Externí odkaz:
http://arxiv.org/abs/2401.02764
Publikováno v:
Smart and Sustainable Built Environment, 2023, Vol. 13, Issue 5, pp. 1260-1280.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SASBE-05-2022-0089
