Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hyesook Son"'
Publikováno v:
IEEE Access, Vol 9, Pp 124549-124559 (2021)
Cables of cable-stayed bridges are gradually damaged by weather conditions, vehicle loads, and corrosion of materials. Stayed cables are an essential factor closely related to the stability of a cable-stayed bridge. Damaged cables might lead to the b
Externí odkaz:
https://doaj.org/article/da51604f1b99456b9be710efad3d5198
Autor:
Hyesook Son, Yun Jang
Publikováno v:
IEEE Access, Vol 8, Pp 164762-164774 (2020)
Advanced data analysis techniques facilitate data-driven spatiotemporal prediction in various fields. However, in real-world data, missing values are inevitable, which causes the data incomplete and makes predictions more challenging. Although we can
Externí odkaz:
https://doaj.org/article/5c2bb85e00364c62bde4b002680cf74e
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5853 (2021)
The output of a deep-learning model delivers different predictions depending on the input of the deep learning model. In particular, the input characteristics might affect the output of a deep learning model. When predicting data that are measured wi
Externí odkaz:
https://doaj.org/article/cfb3cc5df4f64dd4ae0e59365e8da7a2
Publikováno v:
Sensors, Vol 21, Iss 9, p 3118 (2021)
Cable-stayed bridges are damaged by multiple factors such as natural disasters, weather, and vehicle load. In particular, if the stayed cable, which is an essential and weak component of the cable-stayed bridge, is damaged, it may adversely affect th
Externí odkaz:
https://doaj.org/article/d561ffd0f8ad4d7a85f4b18effd2ffb3
Autor:
Hyesook Son
Publikováno v:
The Korean Society for Teaching English Literature. 25:63-83
Publikováno v:
The Journal of Supercomputing. 78:1759-1782
Bayesian network is derived from conditional probability and is useful in inferring the next state of the currently observed variables. If data are missed or corrupted during data collection or transfer, the characteristics of the original data may b
Publikováno v:
Journal of Visualization. 24:583-596
An unbalanced panel is a dataset in which at least one subject is not observed some times. Moreover, each subject is recorded with irregular periods and intervals. Therefore, only short trend pattern pieces exist in the data. When applying existing p
Publikováno v:
KIISE Transactions on Computing Practices. 26:435-441
Autor:
Hyesook Son, Han, Shin Il
Publikováno v:
The Journal of Humanities. 78:71-90
Publikováno v:
Applied Sciences, Vol 11, Iss 5853, p 5853 (2021)
Applied Sciences
Volume 11
Issue 13
Applied Sciences
Volume 11
Issue 13
The output of a deep-learning model delivers different predictions depending on the input of the deep learning model. In particular, the input characteristics might affect the output of a deep learning model. When predicting data that are measured wi