Zobrazeno 1 - 10
of 8 375
pro vyhledávání: '"Wong, Wai"'
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
Autor:
Yau, Wang Tat, Lee, Kai Fung, Wu, Raymond P. H., Wong, Wai Chun, Li, Jensen, Chan, 1 C. T., Fung, Kin Hung
We study the complex band hybridization induced by nonreciprocal local resonances in photonic crystals. Composed of trimer unit cells, a two-dimensional (2D) magnetophotonic crystal with an analytically obtainable solution is considered. We find that
Externí odkaz:
http://arxiv.org/abs/2409.20462
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplete training data due to limitations in data collection and unreliable annotation processes. The absence of multi-view features impairs the comprehensiv
Externí odkaz:
http://arxiv.org/abs/2409.07931
Metasurfaces, with their capability to control all possible dimensions of light, have become integral to quantum optical applications, including quantum state generation, operation, and tomography. In this work, we utilize a metasurface to generate p
Externí odkaz:
http://arxiv.org/abs/2408.10485
Autor:
Liu, Dong, Ren, Zejian, Wong, Wai Chun, Zhao, Entong, He, Chengdong, Pak, Ka Kwan, Jo, Gyu-Boong, Li, Jensen
Recently, synthetic spin-orbit coupling has been introduced into cold-atom systems for more flexible control of the Hamiltonian, which was further made time-varying through two-photon detuning to achieve dynamic control of the cold-atom state. While
Externí odkaz:
http://arxiv.org/abs/2403.01821
Autor:
Ruan, Jiaqi, Meng, Xiangrui, Zhu, Yifan, Liang, Gaoqi, Sun, Xianzhuo, Wu, Huayi, Xiao, Huijuan, Lu, Mengqian, Gao, Pin, Li, Jiapeng, Wong, Wai-Kin, Xu, Zhao, Zhao, Junhua
Modern society's reliance on power systems is at risk from the escalating effects of wind-related climate change. Yet, failure to identify the intricate relationship between wind-related climate risks and power systems could lead to serious short- an
Externí odkaz:
http://arxiv.org/abs/2311.16572