Zobrazeno 1 - 10
of 618
pro vyhledávání: '"Huang, Zhixin"'
Autor:
Fan, Tao, Hao, Bo, Yang, Shuo, Shen, Bo, Huang, Zhixin, Lu, Zilong, Xiong, Rui, Shen, Xiaokang, Jiang, Wenyang, Zhang, Lin, Li, Donghang, He, Ruyuan, Meng, Heng, Lin, Weichen, Feng, Haojie, Geng, Qing
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 9, p e19588 (2020)
BackgroundIn late December 2019, a pneumonia caused by SARS-CoV-2 was first reported in Wuhan and spread worldwide rapidly. Currently, no specific medicine is available to treat infection with COVID-19. ObjectiveThe aims of this study were to summar
Externí odkaz:
https://doaj.org/article/d9342432dbf94f5b9c1cbbb5402d31dc
Remaining useful life prediction plays a crucial role in the health management of industrial systems. Given the increasing complexity of systems, data-driven predictive models have attracted significant research interest. Upon reviewing the existing
Externí odkaz:
http://arxiv.org/abs/2401.15964
Autor:
Huseljic, Denis, Herde, Marek, Rauch, Lukas, Hahn, Paul, Huang, Zhixin, Kottke, Daniel, Vogt, Stephan, Sick, Bernhard
Since training deep neural networks takes significant computational resources, extending the training dataset with new data is difficult, as it typically requires complete retraining. Moreover, specific applications do not allow costly retraining due
Externí odkaz:
http://arxiv.org/abs/2210.06112
Harnessing the synergistic power of lignin-Ecoflex blends for enhanced performance in food packaging
Autor:
Hua, Qi, Huang, Zhixin, Gou, Jinsheng, Zhang, Huaiyu, Therrien, Isabella, Wu, Jie, Liang, Yalan, Renneckar, Scott
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Karaaslan, Muzaffer A., Gunning, Declan, Huang, Zhixin, Ko, Frank, Renneckar, Scott, Abdin, Yasmine
Publikováno v:
In Carbon September 2024 228
Autor:
Huang, Zhixin, Deng, Shuai, Zhang, Qi, Zhao, Ruikai, Li, Shuangjun, Veselovskaya, Janna, Kozlov, Denis, Wang, Junyao
Publikováno v:
In Resources, Conservation & Recycling September 2024 208
Publikováno v:
In Applied Acoustics 5 February 2025 229
Publikováno v:
Youqi dizhi yu caishoulu, Vol 31, Iss 1, Pp 87-102 (2024)
The reserves of heavy oil far exceed those of conventional oil， but heavy oil is difficult to exploit due to its high viscosity and density. Thus， the efficient and economical development of heavy oil has become a research focus in the petroleum
Externí odkaz:
https://doaj.org/article/36101237b4724e2fa91bccdaf7dc7a5e
Continual learning can enable neural networks to evolve by learning new tasks sequentially in task-changing scenarios. However, two general and related challenges should be overcome in further research before we apply this technique to real-world app
Externí odkaz:
http://arxiv.org/abs/2202.06781
Publikováno v:
In Energy 30 December 2024 313