Zobrazeno 1 - 10
of 559
pro vyhledávání: '"Kim, JuHyun"'
Autor:
Kim, Juhyun1 (AUTHOR) slhan@jbnu.ac.kr, Han, Sunlee1 (AUTHOR), Kim, Daehee2 (AUTHOR) dhkim@kccus.kr, Lee, Youngsoo1,3 (AUTHOR) youngsoo.lee@jbnu.ac.kr
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5517. 22p.
Autor:
Kim, Byunggik a, 1, Choi, Jong Seob b, f, 1, Zhu, Yiguang c, Kim, Juhyun d, Kim, Ye Seul e, Parra, Andres f, Locke, Paul A. c, Kim, Jae Ho e, Herron, Todd g, Kim, Deok-Ho f, h, i, j, ⁎
Publikováno v:
In Biosensors and Bioelectronics 15 March 2025 272
Autor:
Kim, Juhyun
We prove that the rank of annular Khovanov homology of a braid in its next-to-top annular grading is always greater than 1, and as an immediate consequence prove that annular Khovanov homology of an annular link as a representation over the Lie algeb
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly. In contrast, neurons in artificial neural networks abstract away this complexity, typically down to a scalar activation function of a weighted
Externí odkaz:
http://arxiv.org/abs/2110.06871
Publikováno v:
In Cell Reports 23 July 2024 43(7)
Publikováno v:
In Journal of Computational Physics 1 July 2024 508
Publikováno v:
In Blood 30 May 2024 143(22):2300-2313
Publikováno v:
In Energy 1 March 2024 290
Autor:
Kim, Juhyun
We prove that the rank of knot Floer homology detects the Hopf links, and generalize this result further to classify the links of the second smallest knot Floer homology. We also prove a knot Floer homology analog of arXiv:1910.04246v1 [math.GT] and
Externí odkaz:
http://arxiv.org/abs/2011.11810
condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale
Predictive models with a focus on different spatial-temporal scales benefit governments and healthcare systems to combat the COVID-19 pandemic. Here we present the conditional Long Short-Term Memory networks with Quantile output (condLSTM-Q), a well-
Externí odkaz:
http://arxiv.org/abs/2011.11507