Zobrazeno 1 - 10
of 17 378
pro vyhledávání: '"Wang, XuAn"'
Autor:
Wang, Xuan
Wood chemical treatment is an important process in the wood industry, in that such treatment alters the properties of wood so that a variety of wood-based products can be fabricated with enhanced performance. However, wood's complex composition and s
Externí odkaz:
https://digital.library.unt.edu/ark:/67531/metadc2356219/
Approximate computing is a new computing paradigm. One important area of it is designing approximate circuits for FPGA. Modern FPGAs support dual-output LUT, which can significantly reduce the area of FPGA designs. Several existing works explored the
Externí odkaz:
http://arxiv.org/abs/2411.18330
Large language models~(LLMs) are known for their high demand on computing resources and memory due to their substantial model size, which leads to inefficient inference on moderate GPU systems. Techniques like quantization or pruning can shrink model
Externí odkaz:
http://arxiv.org/abs/2411.15715
As mixed with real pulsations, the reflection of super-Nyquist frequencies (SNFs) pose a threat to asteroseismic properties. Although SNFs have been studied in several pulsating stars, a systematic survey remains scarcely explored. Here we propose a
Externí odkaz:
http://arxiv.org/abs/2411.12481
The gravitational deflection of light signals restricted in the polar-axis plane of a moving Kerr-Newman (KN) black hole with a constant velocity along the polar axis is studied within the second post-Minkowskian (PM) approximation. For this purpose,
Externí odkaz:
http://arxiv.org/abs/2411.03808
3D Gaussian Splatting (3DGS) has demonstrated remarkable effectiveness for novel view synthesis (NVS). However, the 3DGS model tends to overfit when trained with sparse posed views, limiting its generalization ability to novel views. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2411.00144
Team Coordination on Graphs with Risky Edges (\textsc{tcgre}) is a recently proposed problem, in which robots find paths to their goals while considering possible coordination to reduce overall team cost. However, \textsc{tcgre} assumes that the \emp
Externí odkaz:
http://arxiv.org/abs/2410.22482
Model Inversion (MI) attacks aim at leveraging the output information of target models to reconstruct privacy-sensitive training data, raising widespread concerns on privacy threats of Deep Neural Networks (DNNs). Unfortunately, in tandem with the ra
Externí odkaz:
http://arxiv.org/abs/2410.05159
We introduce the notion of logarithmically concave (or log-concave) sequences in Coding Theory. A sequence $a_0, a_1, \dots, a_n$ of real numbers is called log-concave if $a_i^2 \ge a_{i-1}a_{i+1}$ for all $1 \le i \le n-1$. A natural sequence of pos
Externí odkaz:
http://arxiv.org/abs/2410.04412
Recently, there has been a revived interest in system neuroscience causation models due to their unique capability to unravel complex relationships in multi-scale brain networks. In this paper, our goal is to verify the feasibility and effectiveness
Externí odkaz:
http://arxiv.org/abs/2409.18298