Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Sun, Xinyao"'
Metaverse provides users with a novel experience through immersive multimedia technologies. Along with the rapid user growth, numerous events bursting in the metaverse necessitate an announcer to help catch and monitor ongoing events. However, system
Externí odkaz:
http://arxiv.org/abs/2308.03165
Blockchain, pivotal in shaping the metaverse and Web3, often draws criticism for high energy consumption and carbon emission. The rise of sustainability-focused blockchains, especially when intersecting with innovative wireless technologies, revises
Externí odkaz:
http://arxiv.org/abs/2308.02039
Autor:
Sun, Xinyao
Complement proteins play an important role in the body's immune processes and involve in the pathology of many diseases in human, such as major depressive disorder and schizophrenia. Understanding the genetics of those proteins is an important step t
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-479400
Due to the rising complexity of the metaverse's business logic and the low-latency nature of the metaverse, developers typically encounter the challenge of effectively reading, writing, and retrieving historical on-chain data in order to facilitate t
Externí odkaz:
http://arxiv.org/abs/2204.04272
Autor:
Dong, Ao, Hou, Xu, Sun, Xinyao, Tian, Changchang, Yin, Li, Huang, Jing, Cui, Tingting, Yuan, Enxian
Publikováno v:
In Sustainable Materials and Technologies September 2024 41
Publikováno v:
In Forest Ecology and Management 15 August 2024 566
Autor:
Song, Lele, Peng, Yushuo, Huang, Wenpeng, Qiu, Yongkang, Yang, Qi, Chen, Zhao, Sun, Xinyao, Wang, Tianyao, Kang, Lei
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 March 2024 685
Autor:
Vijay Kumar, Sachin1 (AUTHOR) vijaykum@ualberta.ca, Sun, Xinyao1 (AUTHOR) locheng@ualberta.ca, Wang, Zheng2 (AUTHOR) zwang@3vgeomatics.com, Goldsbury, Ryan2 (AUTHOR) rgoldsbury@3vgeomatics.com, Cheng, Irene1 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2023, Vol. 15 Issue 21, p5081. 17p.
Phase filtering and pixel quality (coherence) estimation is critical in producing Digital Elevation Models (DEMs) from Interferometric Synthetic Aperture Radar (InSAR) images, as it removes spatial inconsistencies (residues) and immensely improves th
Externí odkaz:
http://arxiv.org/abs/2001.09631
We propose a novel direction to improve the denoising quality of filtering-based denoising algorithms in real time by predicting the best filter parameter value using a Convolutional Neural Network (CNN). We take the use case of BM3D, the state-of-th
Externí odkaz:
http://arxiv.org/abs/2001.06961