Zobrazeno 1 - 10
of 1 777
pro vyhledávání: '"Wang MingYu"'
Autor:
WANG Mingyu, ZHA Zhen, BAI Yang, CIREN Yangji, DEJI Yangzong, LUO Zhen, LUO Xumin, LI Suo, ZHANG Wei, SUOLANG Quzong
Publikováno v:
Pifu-xingbing zhenliaoxue zazhi, Vol 31, Iss 8, Pp 572-576 (2024)
Because of their convenience, rapidness and non-invasive advantages, non-invasive skin physiological monitoring technique can be auxiliary examination of many common skin diseases and is of great significance in guiding the diagnosis and treatment of
Externí odkaz:
https://doaj.org/article/d115dc9f60244650b8ed532cf9c3d542
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 11, Pp 1565-1570 (2023)
ObjectiveThis study aimed to evaluate the capacity of domestic laboratories for the detection of Salmonella in milk powder.MethodsArtificially contaminated samples in this proficiency testing program were used. The samples were prepared by adding the
Externí odkaz:
https://doaj.org/article/8c265580d9e44890bebb626d5f0fca7b
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 9, Pp 1304-1310 (2023)
ObjectiveThis study aimed to prepare proficiency testing samples that are closer to the actual samples and have good homogeneity and stability， and the ability of national laboratories to detect procymidone， carbofuran， and parathion in vegetab
Externí odkaz:
https://doaj.org/article/e4f333feb848490b908686b9741027fd
Publikováno v:
IEEE Access, Vol 11, Pp 39968-39977 (2023)
In the conditions of bad weather, the small vessels maneuvering ability of collision avoidance is seriously reduced and the vulnerability to maritime accidents increases due to the influence of strong wind and wave. This paper proposes a collision av
Externí odkaz:
https://doaj.org/article/9dc522ff2285492b9370d97cd24bd55a
Autor:
Xu, Rui, Hu, Mengya, Lei, Deren, Li, Yaxi, Lowe, David, Gorevski, Alex, Wang, Mingyu, Ching, Emily, Deng, Alex
The proliferation of AI-generated images has intensified the need for robust content authentication methods. We present InvisMark, a novel watermarking technique designed for high-resolution AI-generated images. Our approach leverages advanced neural
Externí odkaz:
http://arxiv.org/abs/2411.07795
A fast multipole method (FMM)-accelerated surface integral equation (SIE) simulator, called XRL, is proposed for broadband resistance/inductance (RL) extraction under the magneto-quasi-static assumption. The proposed XRL has three key attributes that
Externí odkaz:
http://arxiv.org/abs/2409.12375
Autor:
Hu, Mengya, Xu, Rui, Lei, Deren, Li, Yaxi, Wang, Mingyu, Ching, Emily, Kamal, Eslam, Deng, Alex
Large language models (LLMs) are highly capable but face latency challenges in real-time applications, such as conducting online hallucination detection. To overcome this issue, we propose a novel framework that leverages a small language model (SLM)
Externí odkaz:
http://arxiv.org/abs/2408.12748
Publikováno v:
SHS Web of Conferences, Vol 163, p 04036 (2023)
This paper constructs residents’ attentiveness index of the Belt and Road Initiative by big data, and combines social and economic factors to study the spatial and temporal distribution of initiative attentiveness, we can find that (1) the attentiv
Externí odkaz:
https://doaj.org/article/ad60f456020d4dcbae68ca29b8b9374e
Dataset distillation (DD) has emerged as a widely adopted technique for crafting a synthetic dataset that captures the essential information of a training dataset, facilitating the training of accurate neural models. Its applications span various dom
Externí odkaz:
http://arxiv.org/abs/2402.04676
Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving. Current self-supervised methods mainly rely on point correspondences between point clouds, which may introdu
Externí odkaz:
http://arxiv.org/abs/2401.11499