Institution
Dongyang University
Education•Andong, South Korea•
About: Dongyang University is a education organization based out in Andong, South Korea. It is known for research contribution in the topics: Proteome & Adaptive neuro fuzzy inference system. The organization has 144 authors who have published 358 publications receiving 3986 citations.
Topics: Proteome, Adaptive neuro fuzzy inference system, Support vector machine, Mean squared error, Nanocrystalline material
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the surface microstructure of waste polyethylene terephthalate (PET) bottles lightweight aggregate (WPLA) was investigated to examine the effect of granulated blast-furnace slag (GBFS) on WPLA.
429 citations
TL;DR: Results obtained from this study indicate that the conjunction of wavelet decomposition and artificial intelligence models can be a useful tool for accurate forecasting daily water level and can yield better efficiency than the conventional forecasting models.
228 citations
TL;DR: In this paper, a generalized regression neural networks model (GRNNM) embedding the GA in order to estimate and calculate the pan evaporation (PE) and the alfalfa reference evapotranspiration (ET r) was developed and evaluated through the training, the testing and the reproduction performances, respectively.
210 citations
TL;DR: Comparisons of multi-omics data combined with a computational modeling approach provide a framework for elucidating the phenotypic characteristics of organisms whose genomes are sequenced to determine the differences between Escherichia coli B and K-12 strains.
Abstract: Background
Elucidation of a genotype-phenotype relationship is critical to understand an organism at the whole-system level. Here, we demonstrate that comparative analyses of multi-omics data combined with a computational modeling approach provide a framework for elucidating the phenotypic characteristics of organisms whose genomes are sequenced.
148 citations
TL;DR: In this article, a method is proposed to estimate the joint damages of a steel structure from modal data using a neural networks technique, where the beam-to-column connection is represented by a zero-length rotational spring at the end of the beam element, and the joint fixity factor is defined from the rotational stiffness.
112 citations
Authors
Showing all 146 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Jong-Ki Jeon | 36 | 170 | 4547 |
| Hye-Young Min | 24 | 56 | 1632 |
| Sungwon Kim | 23 | 79 | 1667 |
| Soon Sun Kim | 20 | 100 | 1212 |
| Marcus K. Rogers | 17 | 77 | 1259 |
| Mee-Jung Han | 16 | 24 | 1124 |
| Soon-Duck Kwon | 16 | 55 | 1173 |
| Youngmin Seo | 14 | 29 | 527 |
| Jong-Ki Jeon | 14 | 89 | 689 |
| Gwon Hyun Ko | 10 | 28 | 402 |
| Jin Hwan Do | 8 | 18 | 366 |
| Yang-Ho Choi | 7 | 27 | 194 |
| Sung Ho Son | 7 | 9 | 391 |
| Gyung Duck Kim | 6 | 10 | 90 |
| Wug-Dong Park | 6 | 15 | 113 |