Zobrazeno 1 - 10
of 1 408
pro vyhledávání: '"Wu Jiahui"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 6, Pp 1-12 (2024)
To investigate the evolution trend of transient stability of power-controlled grid-forming (GFM) converters connected to AC systems, generators are replaced with power-controlled grid-forming (GFM) converters and grid-following (GFL) co
Externí odkaz:
https://doaj.org/article/85c49b72c9974f3985bc14b5b92c932c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract The doubly-fed induction generator (DFIG) with virtual inertia control and reactive damping control gives a renewable energy generation system inertia and damping characteristics similar to those of a thermal power plant, and the parameters
Externí odkaz:
https://doaj.org/article/24a26d22e92840f3be5fbce83b6b6c78
Autor:
Guo, Wenbo, Liu, Chengwei, Wang, Limin, Wu, Jiahui, Xu, Zhengzi, Huang, Cheng, Fang, Yong, Liu, Yang
The rise of malicious packages in public registries poses a significant threat to software supply chain (SSC) security. Although academia and industry employ methods like software composition analysis (SCA) to address this issue, existing approaches
Externí odkaz:
http://arxiv.org/abs/2409.15049
Refurbishing laptops extends their lives while contributing to reducing electronic waste, which promotes building a sustainable future. To this end, the Danish Technological Institute (DTI) focuses on the research and development of several applicati
Externí odkaz:
http://arxiv.org/abs/2409.03782
Autor:
Wu, Jiahui, Frias-Martinez, Vanessa
Deep learning architectures enhanced with human mobility data have been shown to improve the accuracy of short-term crime prediction models trained with historical crime data. However, human mobility data may be scarce in some regions, negatively imp
Externí odkaz:
http://arxiv.org/abs/2406.06645
Autor:
Wu, Jiahui, Frias-Martinez, Vanessa
Deep learning crime predictive tools use past crime data and additional behavioral datasets to forecast future crimes. Nevertheless, these tools have been shown to suffer from unfair predictions across minority racial and ethnic groups. Current appro
Externí odkaz:
http://arxiv.org/abs/2406.04382
Recent advancements in quantum hardware and classical computing simulations have significantly enhanced the accessibility of quantum system data, leading to an increased demand for precise descriptions and predictions of these systems. Accurate predi
Externí odkaz:
http://arxiv.org/abs/2405.13582
Improving the efficiency of current neural networks and modeling them in biological neural systems have become popular research directions in recent years. Pulse-coupled neural network (PCNN) is a well applicated model for imitating the computation c
Externí odkaz:
http://arxiv.org/abs/2403.17512
Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as text generation, summarization, and classification. Given that such models are trained on a humongous amount of online knowledge, we hypothesize that LLMs can asse
Externí odkaz:
http://arxiv.org/abs/2403.09906
Publikováno v:
Intelligent Computers, Algorithms, and Applications. IC 2023. Communications in Computer and Information Science, vol 2036
Beam dump experiments provide a distinctive opportunity to search for dark photons, which are compelling candidates for dark matter with low mass. In this study, we propose the application of Graph Neural Networks (GNN) in tracking reconstruction wit
Externí odkaz:
http://arxiv.org/abs/2401.15477