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In this paper, we demonstrate a polynomial convergence rate for homogenization of Hamilton-Jacobi equations with quasi-periodic potentials. We establish a connection between the convergence rate of homogenization and the regularity of the effective H
Externí odkaz:
http://arxiv.org/abs/2405.11516
Deep learning plays an important role in modern agriculture, especially in plant pathology using leaf images where convolutional neural networks (CNN) are attracting a lot of attention. While numerous reviews have explored the applications of deep le
Externí odkaz:
http://arxiv.org/abs/2310.16273
Publikováno v:
Artificial Intelligence Review 2023
The growing demand for sustainable development brings a series of information technologies to help agriculture production. Especially, the emergence of machine learning applications, a branch of artificial intelligence, has shown multiple breakthroug
Externí odkaz:
http://arxiv.org/abs/2310.12509
Autor:
Li, Renjie, Lao, Chun Yu, George, Rebecca St., Lawler, Katherine, Garg, Saurabh, Tran, Son N., Bai, Quan, Alty, Jane
Objective The coordination of human movement directly reflects function of the central nervous system. Small deficits in movement are often the first sign of an underlying neurological problem. The objective of this research is to develop a new end-t
Externí odkaz:
http://arxiv.org/abs/2302.08505
Publikováno v:
Journal of Differential Equations 402 (2024), 518-553
We study the additive eigenvalues on changing domains, along with the associated vanishing discount problems. We consider the convergence of the vanishing discount problem on changing domains for a general scaling type $\Omega_\lambda = (1+r(\lambda)
Externí odkaz:
http://arxiv.org/abs/2210.05544
Autor:
Li, Renjie, Wang, Xinyi, Huang, Guan, Yang, Wenli, Zhang, Kaining, Gu, Xiaotong, Tran, Son N., Garg, Saurabh, Alty, Jane, Bai, Quan
Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network. This technique has been increasingly applied in deep neural network learning systems for various computer
Externí odkaz:
http://arxiv.org/abs/2207.02376
Autor:
Astner, T., Koller, P., Gilardoni, C. M., Hendriks, J., Son, N. T., Ivanov, I. G., Hassan, J. U., van der Wal, C. H., Trupke, M.
Vanadium in silicon carbide (SiC) is emerging as an important candidate system for quantum technology due to its optical transitions in the telecom wavelength range. However, several key characteristics of this defect family including their spin rela
Externí odkaz:
http://arxiv.org/abs/2206.06240
Autor:
Connor J. Greatbatch, MBBS, Qinyi Lu, MD, PhD, Sandy Hung, PhD, Son N. Tran, PhD, Kristof Wing, MBBS, Helena Liang, MD, PhD, Xikun Han, PhD, Tiger Zhou, FRANZCO, PhD, Owen M. Siggs, MD, PhD, David A. Mackey, FRANZCO, MD, Guei-Sheung Liu, PhD, Anthony L. Cook, PhD, Joseph E. Powell, PhD, Jamie E. Craig, FRANZCO, DPhil, Stuart MacGregor, PhD, Alex W. Hewitt, FRANZCO, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 4, Pp 100504- (2024)
Purpose: Genome-wide association studies have recently uncovered many loci associated with variation in intraocular pressure (IOP). Artificial intelligence (AI) can be used to interrogate the effect of specific genetic knockouts on the morphology of
Externí odkaz:
https://doaj.org/article/abb1ee8966924ea990c570465f440c02
Fisher Discriminant Analysis (FDA) is one of the essential tools for feature extraction and classification. In addition, it motivates the development of many improved techniques based on the FDA to adapt to different problems or data types. However,
Externí odkaz:
http://arxiv.org/abs/2205.13565
Autor:
Tu, Son N. T., Nguyen, Thu
Deep learning approaches for partial differential equations (PDEs) have received much attention in recent years due to their mesh-freeness and computational efficiency. However, most of the works so far have concentrated on time-dependent nonlinear d
Externí odkaz:
http://arxiv.org/abs/2202.09282