Zobrazeno 1 - 10
of 102
pro vyhledávání: '"TaeHyeong Kim"'
Autor:
Soyoung Jun, Heeyoun Park, Muwoong Kim, Seulgi Kang, Taehyeong Kim, Daun Kim, Yukio Yamamoto, Keiko Tanaka-Yamamoto
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
The prevailing belief has been that the fundamental structures of cerebellar neuronal circuits, consisting of a few major neuron types, are simple and well understood. Given that the cerebellum has long been known to be crucial for motor behaviors, t
Externí odkaz:
https://doaj.org/article/6726c7e3677e4f84a4fc98ee1ba872df
Publikováno v:
IEEE Access, Vol 12, Pp 154455-154466 (2024)
Proactive strategies for predicting solid state drive(SSD) failures are imperative to ensure uninterrupted services in data centers. Traditional methods that rely on rule-based approaches and machine learning algorithms often fail to accurately predi
Externí odkaz:
https://doaj.org/article/3f8f135bbbbf4378867187ecdc626680
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionIndoor agriculture, especially plant factories, becomes essential because of the advantages of cultivating crops yearly to address global food shortages. Plant factories have been growing in scale as commercialized. Developing an on-site
Externí odkaz:
https://doaj.org/article/ab2e9ac1fd614a1a92e8653f1f525938
Autor:
Taehyeong Kim, Boosik Kang
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 9, Pp 3071-3085 (2023)
This study employed the Decision-Scaling (DS) approach and the IHACRES (Identification of unit Hydrographs And Component flows from Rainfall) long-term runoff model to investigate the impact of composite changes in rainfall and temperature on dam inf
Externí odkaz:
https://doaj.org/article/812c2ebf0c8941cba90c51946e1a9b42
Autor:
Hwayeong Kim, Jiwoong Lee, Sangwoo Moon, Sangil Kim, Taehyeong Kim, Sang Wook Jin, Jung Lim Kim, Jonghoon Shin, Seung Uk Lee, Geunsoo Jang, Yuanmeng Hu, Jeong Rye Park
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Although deep learning architecture has been used to process sequential data, only a few studies have explored the usefulness of deep learning algorithms to detect glaucoma progression. Here, we proposed a bidirectional gated recurrent unit
Externí odkaz:
https://doaj.org/article/b34f32bf7cf641a2902d90c4e968fd36
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S327- (2023)
Externí odkaz:
https://doaj.org/article/badd35daf40b4381a338e601f331c064
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Repeated cocaine use poses many serious health risks to users. One of the risks is hypoxia and ischemia (HI). To restore the biological system against HI, complex biological mechanisms operate at the gene level. Despite the complexity of bio
Externí odkaz:
https://doaj.org/article/827ef7e0561d4da09505400c3c9e8504
Publikováno v:
IEEE Access, Vol 10, Pp 88457-88468 (2022)
Reliability prediction has been studied in many industries for managing stocks and reducing quality assurance costs and production costs. Particularly, in the automotive industry, reliability prediction is performed based on two automobile reliabilit
Externí odkaz:
https://doaj.org/article/02f8041d8971418cb76c18abc53572d2
Publikováno v:
IEEE Access, Vol 9, Pp 17620-17630 (2021)
This paper proposes a new data-driven neural network-based fire-flake simulation model. Our model trains a neural network using precomputed fire simulation data. The trained neural network model generates fire flakes in appropriate locations and infe
Externí odkaz:
https://doaj.org/article/7adb33511f1941769c2cc2ebd2b4df96
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 412 (2022)
In this study, we propose a tomato maturity estimation approach based on a deep neural network. Tomato images were obtained using an RGB camera installed on a monitoring robot and samples were cropped to generate a dataset with which to train the cla
Externí odkaz:
https://doaj.org/article/0421b817d738496080ca26ba564aac67