Zobrazeno 1 - 10
of 1 098
pro vyhledávání: '"Lu Yiping"'
Publikováno v:
Veterinary Medicine and Science, Vol 9, Iss 5, Pp 2336-2341 (2023)
Abstract Objectives This study was to identify and characterize Decapod iridescent virus 1 (DIV1) in the outbreaks reported in two whiteleg shrimp farms and one black tiger shrimp farm located in northern Taiwan in 2020. Methods The histopathology, e
Externí odkaz:
https://doaj.org/article/c2dfc349e3df4181af1a2e88ef844243
Publikováno v:
中国工程科学, Vol 25, Iss 3, Pp 170-181 (2023)
With the rapid development of world’s technological level and the urgent demand of national economic construction for high-performance alloy materials, traditional single-component alloys gradually fail to satisfy the increasing service requirement
Externí odkaz:
https://doaj.org/article/9507c4ce862246e1a59376cfbfaf7e13
Recent advances in machine learning have inspired a surge of research into reconstructing specific quantities of interest from measurements that comply with certain physical laws. These efforts focus on inverse problems that are governed by partial d
Externí odkaz:
http://arxiv.org/abs/2406.09194
Bootstrap is a popular methodology for simulating input uncertainty. However, it can be computationally expensive when the number of samples is large. We propose a new approach called \textbf{Orthogonal Bootstrap} that reduces the number of required
Externí odkaz:
http://arxiv.org/abs/2404.19145
Despite the widespread empirical success of ResNet, the generalization properties of deep ResNet are rarely explored beyond the lazy training regime. In this work, we investigate \emph{scaled} ResNet in the limit of infinitely deep and wide neural ne
Externí odkaz:
http://arxiv.org/abs/2403.09889
In quantum mechanics, the wave function of fermion systems such as many-body electron systems are anti-symmetric (AS) and continuous, and it is crucial yet challenging to find an ansatz to represent them. This paper addresses this challenge by presen
Externí odkaz:
http://arxiv.org/abs/2402.15167
Inferring a diffusion equation from discretely-observed measurements is a statistical challenge of significant importance in a variety of fields, from single-molecule tracking in biophysical systems to modeling financial instruments. Assuming that th
Externí odkaz:
http://arxiv.org/abs/2312.05793
This paper studies the use of a machine learning-based estimator as a control variate for mitigating the variance of Monte Carlo sampling. Specifically, we seek to uncover the key factors that influence the efficiency of control variates in reducing
Externí odkaz:
http://arxiv.org/abs/2305.16527
Publikováno v:
China Foundry, Vol 10, Iss 4, Pp 213-216 (2013)
Many investigations have revealed that transition of melt structure can effectively influence the final solidification microstructures. In this study, ultrasonic treatment was applied to Al-20%Si melt and Sr-modified Al-20%Si melt at 720 ℃ (i.e. ab
Externí odkaz:
https://doaj.org/article/829d69c198864bddb9602a1569dfea63
The optimal design of experiments typically involves solving an NP-hard combinatorial optimization problem. In this paper, we aim to develop a globally convergent and practically efficient optimization algorithm. Specifically, we consider a setting w
Externí odkaz:
http://arxiv.org/abs/2211.15241