Zobrazeno 1 - 10
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pro vyhledávání: '"Kim, Hyun"'
We investigate hidden-charm pentaquark states using an off-shell coupled-channel formalism involving heavy meson and singly heavy baryon scattering. Our approach utilizes an effective Lagrangian to construct the kernel amplitudes, which respect both
Externí odkaz:
http://arxiv.org/abs/2408.04166
Autor:
Kim, Hyun Kyu, Wang, Zhihao
The ${\rm SL}_3$-skein algebra $\mathscr{S}_{\bar{q}}(\mathfrak{S})$ of a punctured oriented surface $\mathfrak{S}$ is a quantum deformation of the coordinate algebra of the ${\rm SL}_3$-character variety of $\mathfrak{S}$. When $\bar{q}$ is a root o
Externí odkaz:
http://arxiv.org/abs/2407.16812
This report describes the submission of HYU ASML team to the IEEE Signal Processing Cup 2024 (SP Cup 2024). This challenge, titled "ROBOVOX: Far-Field Speaker Recognition by a Mobile Robot," focuses on speaker recognition using a mobile robot in nois
Externí odkaz:
http://arxiv.org/abs/2407.11365
We investigate the properties of the static neutron stars and strangeness-mixed stars, based on the equations of state derived from a pion mean-field approach. Using the empirical data on the pion-nucleus scattering and bulk properties of nuclear mat
Externí odkaz:
http://arxiv.org/abs/2407.09869
As speech synthesis systems continue to make remarkable advances in recent years, the importance of robust deepfake detection systems that perform well in unseen systems has grown. In this paper, we propose a novel adaptive centroid shift (ACS) metho
Externí odkaz:
http://arxiv.org/abs/2406.16716
Autor:
Lee, Dong Soo, Kim, Hyun Joo, Huh, Youngmin, Kang, Yeon Koo, Whi, Wonseok, Lee, Hyekyoung, Kang, Hyejin
Voxel hierarchy on dynamic brain graphs is produced by k core percolation on functional dynamic amplitude correlation of resting-state fMRI. Directed graphs and their afferent/efferent capacities are produced by Markov modeling of the universal cover
Externí odkaz:
http://arxiv.org/abs/2406.08140
Autor:
Di Siena, A., Garcia, J., Bilato, R., Kirov, K., Navarro, J. Varela A. Banon, Kim, Hyun-Tae, Challis, C., Hobirk, J., Kappatou, A., Lerche, E., Spong, D., Angioni, C., Gorler, T., Poli, E., Bergmann, M., Jenko, F., contributors, JET
The capability of the global, electromagnetic gyrokinetic GENE code interfaced with the transport Tango solver is exploited to address the impact of fusion alpha particles (in their dual role of fast particles and heating source) on plasma profiles a
Externí odkaz:
http://arxiv.org/abs/2406.07130
Neuro-symbolic neural networks have been extensively studied to integrate symbolic operations with neural networks, thereby improving systematic generalization. Specifically, Tensor Product Representation (TPR) framework enables neural networks to pe
Externí odkaz:
http://arxiv.org/abs/2406.06976
Autor:
Kim, Hyun Kyu
In 1980's H Verlinde suggested to construct and use a quantization of Teichm\"uller spaces to construct spaces of conformal blocks for the Liouville conformal field theory. This suggestion led to a mathematical formulation by Fock in 1990's, called t
Externí odkaz:
http://arxiv.org/abs/2405.14727
The proliferation of deep learning has significantly advanced various fields, yet Human Activity Recognition (HAR) has not fully capitalized on these developments, primarily due to the scarcity of labeled datasets. Despite the integration of advanced
Externí odkaz:
http://arxiv.org/abs/2406.16886