Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Jaejun Kim"'
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110885- (2024)
Building characteristics are vital across various domains such as construction management and architectural design. Static Street View Images (SSVIs) can be utilized with deep learning techniques to interpret building characteristics without the need
Externí odkaz:
https://doaj.org/article/880a755763b8493db2485d30d1121702
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110720- (2024)
Accurate inspection of rebars in Reinforced Concrete (RC) structures is essential and requires careful counting. Deep learning algorithms utilizing object detection can facilitate this process through Unmanned Aerial Vehicle (UAV) imagery. However, t
Externí odkaz:
https://doaj.org/article/7a7db2b136404e24a4ee69272e90f0f4
Publikováno v:
Energies, Vol 16, Iss 17, p 6180 (2023)
A large-scale solar power plant costs a lot of money in the early stage of development and is greatly affected by the natural environment. Therefore, efficient operation is very important. The purpose of this study is to analyze the cleaning effect o
Externí odkaz:
https://doaj.org/article/b8c9fcbd7e6346e4ad859f05d9692850
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11036 (2022)
Apartment housing occupies the highest proportion of the domestic construction market and significantly influences the flow of the real estate market. Frequent design changes and reconstruction in new apartment housing projects lead to an increase in
Externí odkaz:
https://doaj.org/article/f9b3f1a1bebb44649d4682a5163b2fbd
Publikováno v:
Applied Sciences, Vol 9, Iss 9, p 1732 (2019)
Small- and medium-sized enterprises (SMEs) are part of the building construction industry. Although many effect analyses of applying building information modeling (BIM) to projects have been conducted, analyses from the perspective of SMEs are lackin
Externí odkaz:
https://doaj.org/article/dd3e9b55ff9b4a0ea505ace32c322325
Publikováno v:
Energies, Vol 10, Iss 4, p 579 (2017)
This paper presents a fast, reliable multi-objective history-matching method based on proxy modeling to forecast the production performances of shale gas reservoirs for which all available post-hydraulic-fracturing production data, i.e., the daily ga
Externí odkaz:
https://doaj.org/article/57e54abcee424c11899e48b8f1e04b5c
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Along with the growing interest in greenhouse gas reduction, the effect of greenhouse gas energy reduction from implementing green buildings is gaining attention. The government of the Republic of Korea has set green growth as its paradigm for nation
Externí odkaz:
https://doaj.org/article/4798ab264d394ab1af7197f82327358c
Autor:
Jaejun Kim, Myung-Kwan Park
Publikováno v:
Language and Linguistics. 98:1-30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfd2707fd919f76b4201d5af34b80f5b
https://doi.org/10.20865/20229801
https://doi.org/10.20865/20229801
Autor:
Jaejun Kim, Myung-Kwan Park
Publikováno v:
Studies in Linguistics. 62:65-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c6b0ce402abc342b81122ef342df19c
https://doi.org/10.17002/sil..62.202201.65
https://doi.org/10.17002/sil..62.202201.65
Publikováno v:
Petroleum Science. 18:1465-1482
This paper presents an innovative data-integration that uses an iterative-learning method, a deep neural network (DNN) coupled with a stacked autoencoder (SAE) to solve issues encountered with many-objective history matching. The proposed method cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14971bf106484c9298665df06fcac10
https://doi.org/10.1016/j.petsci.2021.08.001
https://doi.org/10.1016/j.petsci.2021.08.001