Zobrazeno 1 - 10
of 50
pro vyhledávání: '"ZHAO Sichen"'
Publikováno v:
Meikuang Anquan, Vol 53, Iss 6, Pp 57-62, 68 (2022)
To improve the current situation of mine fire in China, and to optimize the deficiency of fire extinguishing technology of the single component inert gas, a dry ice preparation system and a visual test bench for CO2 phase transformation characteristi
Externí odkaz:
https://doaj.org/article/e4f9713e46d540be83312e978346a2ad
Disentangled representation learning offers useful properties such as dimension reduction and interpretability, which are essential to modern deep learning approaches. Although deep learning techniques have been widely applied to spatio-temporal data
Externí odkaz:
http://arxiv.org/abs/2202.04821
To model and forecast flight delays accurately, it is crucial to harness various vehicle trajectory and contextual sensor data on airport tarmac areas. These heterogeneous sensor data, if modelled correctly, can be used to generate a situational awar
Externí odkaz:
http://arxiv.org/abs/2105.08969
Autor:
Peng, Xuening, Li, He, Zhu, Lei, Zhao, Sichen, Li, Zhaohuai, Li, Si, DongtingWu, Chen, Jialing, Zheng, Songguo, Su, Wenru
Publikováno v:
In Journal of Autoimmunity February 2024 143
Autor:
Gao, Nan, Xue, Hao, Shao, Wei, Zhao, Sichen, Qin, Kyle Kai, Prabowo, Arian, Rahaman, Mohammad Saiedur, Salim, Flora D.
Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to be promising for spatio-temporal-based applications such as trajectory
Externí odkaz:
http://arxiv.org/abs/2008.08903
Autor:
Shao, Wei, Zhao, Sichen, Zhang, Zhen, Wang, Shiyu, Rahaman, Mohammad Saiedur, Song, Andy, Salim, Flora Dilys
Existing research on parking availability sensing mainly relies on extensive contextual and historical information. In practice, the availability of such information is a challenge as it requires continuous collection of sensory signals. In this stud
Externí odkaz:
http://arxiv.org/abs/2007.08551
Autor:
Shao, Wei, Prabowo, Arian, Zhao, Sichen, Tan, Siyu, Konuiusz, Piotr, Chan, Jeffrey, Hei, Xinhong, Feest, Bradley, Salim, Flora D.
The prediction of flight delays plays a significantly important role for airlines and travelers because flight delays cause not only tremendous economic loss but also potential security risks. In this work, we aim to integrate multiple data sources t
Externí odkaz:
http://arxiv.org/abs/1911.01605
Publikováno v:
In International Immunopharmacology June 2023 119
Publikováno v:
In Neurocomputing 1 February 2022 472:280-293
Akademický článek
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