Zobrazeno 1 - 10
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pro vyhledávání: '"Kan AN"'
The spatial characteristics and structure of an axisymmetric turbulent boundary layer under strong adverse pressure gradient and weak transverse curvature are investigated using incompressible large-eddy simulation. The boundary layer is on a $20^{\c
Externí odkaz:
http://arxiv.org/abs/2501.01218
Autor:
Li, Zhen, Guo, Xiao-Kan
The gravitational decoupling method systematically generates hairy modifications to the solutions in general relativity due to new gravitational sources. In view of the recent advances in astronomical observations, these hairy solutions are expected
Externí odkaz:
http://arxiv.org/abs/2501.01018
Autor:
Fujishima, Yohei, Kan, Toru
For superlinear heat equations with the Dirichlet boundary condition, the $L^\infty$ estimates of radially symmetric solutions are studied. In particular, the uniform boundedness of global solutions and the non-existence of solutions with type II blo
Externí odkaz:
http://arxiv.org/abs/2412.20402
Reinforcement Learning (RL) based methods have been increasingly explored for robot learning. However, RL based methods often suffer from low sampling efficiency in the exploration phase, especially for long-horizon manipulation tasks, and generally
Externí odkaz:
http://arxiv.org/abs/2412.20338
Quantum computing is an emerging technology that offers exponential speedups for certain problems. At the core of quantum-centric supercomputing is advanced middleware that manages the interaction between quantum hardware and classical computing infr
Externí odkaz:
http://arxiv.org/abs/2412.18705
Direction reasoning is essential for intelligent systems to understand the real world. While existing work focuses primarily on spatial reasoning, compass direction reasoning remains underexplored. To address this, we propose the Compass Direction Re
Externí odkaz:
http://arxiv.org/abs/2412.16599
Data sharing is ubiquitous in the metaverse, which adopts blockchain as its foundation. Blockchain is employed because it enables data transparency, achieves tamper resistance, and supports smart contracts. However, securely sharing data based on blo
Externí odkaz:
http://arxiv.org/abs/2412.13770
The Ambient Internet of Things (A-IoT) has emerged as a critical direction for achieving effective connectivity as the IoT system evolves to 6G. However, the introduction of A-IoT technologies, particularly involving backscatter modulation, poses num
Externí odkaz:
http://arxiv.org/abs/2412.12519
Autor:
Fan, Wenxiao, Li, Kan
Noisy labels can negatively impact the performance of deep neural networks. One common solution is label refurbishment, which involves reconstructing noisy labels through predictions and distributions. However, these methods may introduce problematic
Externí odkaz:
http://arxiv.org/abs/2412.11620
In this paper, our focus lies on the study of the second-order variational analysis of orthogonally invariant matrix functions. It is well-known that an orthogonally invariant matrix function is an extended-real-value function defined on ${\mathbb M}
Externí odkaz:
http://arxiv.org/abs/2412.09898