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pro vyhledávání: '"Wang Jiahui"'
Autor:
Wang Jiahui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In the context of big data, traditional detection algorithms can no longer meet today’s needs. For traditional sensors, there are shortcomings such as long working times, high complexity, and high false detection rates. This paper proposes a new ty
Externí odkaz:
https://doaj.org/article/612c54cb3376437ca3a92c9552bcd36e
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 3, Pp 404-409 (2022)
ObjectiveThe sampling method of virus on food packaging surfaces was optimized. The virus recovery rate on different material surfaces was studied by simulating different scenes of virus contamination on the surfaces of frozen food packaging material
Externí odkaz:
https://doaj.org/article/82393d76ae584850ac7118adf7d71258
Publikováno v:
Zhongguo aizheng zazhi, Vol 32, Iss 2, Pp 172-176 (2022)
Bone metastasis is one of the most serious complications in advanced breast cancer patients. Severe osteodynia, pathological fracture and other complications in bone metastasis of breast cancer can seriously affect the quality of life and shorten lif
Externí odkaz:
https://doaj.org/article/fe777baf7bd54e97830d6e63a6bc1171
Recently the dense Simultaneous Localization and Mapping (SLAM) based on neural implicit representation has shown impressive progress in hole filling and high-fidelity mapping. Nevertheless, existing methods either heavily rely on known scene bounds
Externí odkaz:
http://arxiv.org/abs/2411.03610
In this paper, we compare the performance of Kolmogorov-Arnold Networks (KAN) and Multi-Layer Perceptron (MLP) networks on irregular or noisy functions. We control the number of parameters and the size of the training samples to ensure a fair compari
Externí odkaz:
http://arxiv.org/abs/2408.07906
Autor:
Liu, Zuyan, Liu, Benlin, Wang, Jiahui, Dong, Yuhao, Chen, Guangyi, Rao, Yongming, Krishna, Ranjay, Lu, Jiwen
In the field of instruction-following large vision-language models (LVLMs), the efficient deployment of these models faces challenges, notably due to the high memory demands of their key-value (KV) caches. Conventional cache management strategies for
Externí odkaz:
http://arxiv.org/abs/2407.18121
Autor:
Wang, Lingzhi, Wang, Jiahui, Jung, Kyle, Thiagarajan, Kedar, Wei, Emily, Shen, Xiangmin, Chen, Yan, Li, Zhenyuan
The escalating battles between attackers and defenders in cybersecurity make it imperative to test and evaluate defense capabilities from the attackers' perspective. However, constructing full-life-cycle cyberattacks and performing red team emulation
Externí odkaz:
http://arxiv.org/abs/2407.16928
It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively evaluate the performance when noise is added to the dataset. We propose
Externí odkaz:
http://arxiv.org/abs/2407.14882
Autor:
Bao, Zenghui, Li, Yan, Wang, Zhiling, Wang, Jiahui, Yang, Jize, Xiong, Haonan, Song, Yipu, Wu, Yukai, Zhang, Hongyi, Duan, Luming
Publikováno v:
Nat Commun 15, 5958 (2024)
For superconducting quantum processors, microwave signals are delivered to each qubit from room-temperature electronics to the cryogenic environment through coaxial cables. Limited by the heat load of cabling and the massive cost of electronics, such
Externí odkaz:
http://arxiv.org/abs/2407.11775
In recent years, there has been a surge of interest in open-vocabulary 3D scene reconstruction facilitated by visual language models (VLMs), which showcase remarkable capabilities in open-set retrieval. However, existing methods face some limitations
Externí odkaz:
http://arxiv.org/abs/2406.08009