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pro vyhledávání: '"So, Byeonghyeon"'
Autor:
An, Shinwoo, Cho, Kyungjin, Jang, Leo, Jung, Byeonghyeon, Lee, Yudam, Oh, Eunjin, Shin, Donghun, Shin, Hyeonjun, Song, Chanho
In this paper, we study fundamental parameterized problems such as $k$-Path/Cycle, Vertex Cover, Triangle Hitting Set, Feedback Vertex Set, and Cycle Packing for dynamic unit disk graphs. Given a vertex set $V$ changing dynamically under vertex inser
Externí odkaz:
http://arxiv.org/abs/2409.13403
Recent studies in Radiance Fields have paved the robust way for novel view synthesis with their photorealistic rendering quality. Nevertheless, they usually employ neural networks and volumetric rendering, which are costly to train and impede their b
Externí odkaz:
http://arxiv.org/abs/2401.00834
Neural Radiance Fields (NeRF) have shown remarkable performance in neural rendering-based novel view synthesis. However, NeRF suffers from severe visual quality degradation when the input images have been captured under imperfect conditions, such as
Externí odkaz:
http://arxiv.org/abs/2401.00825
Fe3GeTe2 (FGT), a ferromagnetic van der Waals topological nodal line semimetal, has recently been studied. Using first-principles calculations and symmetry analysis, we investigate the effect of a uniaxial tensile strain on the nodal line and the res
Externí odkaz:
http://arxiv.org/abs/2304.13309
Neural radiance fields (NeRF) have demonstrated the potential of coordinate-based neural representation (neural fields or implicit neural representation) in neural rendering. However, using a multi-layer perceptron (MLP) to represent a 3D scene or ob
Externí odkaz:
http://arxiv.org/abs/2212.09069
With the increases in computational power and advances in machine learning, data-driven learning-based methods have gained significant attention in solving PDEs. Physics-informed neural networks (PINNs) have recently emerged and succeeded in various
Externí odkaz:
http://arxiv.org/abs/2207.12800
Autor:
Yun Haeng Lee, Myeong Uk Kuk, Ji Ho Park, Hojun Lee, Haneur Lee, Moon Kyoung So, Jee Hee Yoon, Yoo Jin Lee, Duyeol Kim, Byeonghyeon So, Minseon Kim, Jihae Park, Taejun Han, Joon Tae Park
Publikováno v:
Life, Vol 14, Iss 9, p 1119 (2024)
Heavy metals have serious negative effects on various aquatic organisms, and therefore rapid and accurate ecotoxicological assessments of heavy metals are necessary. Fish-derived cells sensitive to heavy metals have been used as valuable tools for ec
Externí odkaz:
https://doaj.org/article/4aa5812b16664ea1b98ac2a0d91b04cd
Publikováno v:
Animals, Vol 14, Iss 14, p 2029 (2024)
Since pig vocalization is an important indicator of monitoring pig conditions, pig vocalization detection and recognition using deep learning play a crucial role in the management and welfare of modern pig livestock farming. However, collecting pig s
Externí odkaz:
https://doaj.org/article/7e84e187066b4dd999e007a28f3536b8
Autor:
An, Byeonghyeon1 (AUTHOR) shfmql12@mokpo.ac.kr, Che, Junsoo1 (AUTHOR), Kim, Taehun1 (AUTHOR), Park, Taesik1 (AUTHOR) tspark@mokpo.ac.kr
Publikováno v:
Energies (19961073). May2024, Vol. 17 Issue 10, p2440. 20p.
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