no code implementations • 13 Nov 2024 • Siwei Li, Jiayan Fang, Yichun Wua, Wei Wang, Chengxin Li, Jiangwen Chen
Early fault detection and timely maintenance scheduling can significantly mitigate operational risks in NPPs and enhance the reliability of operator decision-making.
no code implementations • 13 Nov 2024 • Siwei Li, Jiangwen Chen, Hua Lin, Wei Wang
This article focuses on the faults of important mechanical components such as pumps, valves, and pipelines in the reactor coolant system, main steam system, condensate system, and main feedwater system of nuclear power plants (NPPs).
no code implementations • 12 Nov 2024 • Jiangwen Chen, Siwei Li, Guo Jiang, Cheng Dongzhen, Lin Hua, Wang Wei
The safe and reliable operation of complex electromechanical systems in nuclear power plants is crucial for the safe production of nuclear power plants and their nuclear power unit.
no code implementations • 11 Nov 2024 • Jiayan Fang, Siwei Li, Yichun Wu
This paper proposes a novel intelligent fault diagnosis method for NPPs that combines enhanced temporal convolutional network (ETCN) with sparrow search algorithm (SSA).
no code implementations • 11 Sep 2024 • Changseob Lee, Ikhyeon Kwon, Anirban Samanta, Siwei Li, S. J. Ben Yoo
3T TRAM with doping profile (P+PNPNN+) is experimentally demonstrated on a silicon photonic platform.
1 code implementation • 27 Jul 2024 • Shuangliang Li, Siwei Li
Weather forecasting refers to learning evolutionary patterns of some key upper-air and surface variables which is of great significance.
1 code implementation • 12 Jul 2024 • Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu
In this way, the over-emphasizing of scarcely informative modalities is avoided.
no code implementations • 1 Jul 2024 • Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang
Efficient fine-tuning plays a fundamental role in modern large models, with low-rank adaptation emerging as a particularly promising approach.
1 code implementation • 7 Feb 2024 • Mingxuan Liu, Jiankai Tang, Yongli Chen, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Jie Gan, Yuntao Wang, Hong Chen
Additionally, the power consumption of the transformer block is reduced by a factor of 12. 2, while maintaining decent performance as PhysFormer and other ANN-based models.
3 code implementations • 21 Dec 2023 • Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang
The proposed framework, \ie, Detection ConvNet (DECO), is composed of a backbone and convolutional encoder-decoder architecture.
1 code implementation • 5 Sep 2023 • Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Zifei Dou, Hong Chen
Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts.
3 code implementations • 19 Feb 2018 • Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
The rapidly growing body of research in adversarial machine learning has demonstrated that deep neural networks (DNNs) are highly vulnerable to adversarially generated images.