Zobrazeno 1 - 10 of 52 pro vyhledávání: '"Geun-Cheol Lee"'
1
Akademický článek
Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models
Autor: Geun-Cheol Lee, June-Young Bang
Publikováno v: Forecasting, Vol 6, Iss 3, Pp 748-760 (2024)
In this study, we propose a model to forecast container throughput for the Singapore port, one of the busiest ports globally. Accurate forecasting of container throughput is critical for efficient port operations, strategic planning, and maintaining
Externí odkaz: https://doaj.org/article/174928ceb9504dbb864441f72756c8bf
Zobrazit plný text záznamu
2
Akademický článek
A Regression-Based Method for Monthly Electric Load Forecasting in South Korea
Autor: Geun-Cheol Lee
Publikováno v: Energies, Vol 17, Iss 23, p 5860 (2024)
In this study, we propose a regression-based method for forecasting monthly electricity consumption in South Korea. The regression model incorporates key external variables such as weather conditions, calendar data, and industrial activity to capture
Externí odkaz: https://doaj.org/article/2a309f50cc054a22bf9d504c10d9aa5b
Zobrazit plný text záznamu
3
Akademický článek
Exploring the relationship between rarity and price of profile picture NFT: A formal concept analysis on the BAYC NFT collection
Autor: Heejung Lee, Geun-Cheol Lee, Hoon-Young Koo
Publikováno v: Blockchain: Research and Applications, Vol 5, Iss 2, Pp 100191- (2024)
Non-fungible token (NFT) is a digital asset whose ownership can be validated and controlled via blockchain technology. The NFT market is a rapidly growing field, and the rarity of NFT is an essential factor that affects its price, as scarcity leads t
Externí odkaz: https://doaj.org/article/de4c444d99b74a3f858e1aa21fb2ee9c
Zobrazit plný text záznamu
4
Akademický článek
Identification and functional analysis of light-responsive unique genes and gene family members in rice.
Autor: Ki-Hong Jung, Jinwon Lee, Chris Dardick, Young-Su Seo, Peijian Cao, Patrick Canlas, Jirapa Phetsom, Xia Xu, Shu Ouyang, Kyungsook An, Yun-Ja Cho, Geun-Cheol Lee, Yoosook Lee, Gynheung An, Pamela C Ronald
Publikováno v: PLoS Genetics, Vol 4, Iss 8, p e1000164 (2008)
Functional redundancy limits detailed analysis of genes in many organisms. Here, we report a method to efficiently overcome this obstacle by combining gene expression data with analysis of gene-indexed mutants. Using a rice NSF45K oligo-microarray to
Externí odkaz: https://doaj.org/article/4433135f152b4feabe0fa81b058610d5
Zobrazit plný text záznamu
9
Forecasting Foreign Visitors using SARIMAX Models with the Exogenous Variable of Demand Decrease
Autor: Geun-Cheol Lee, Choi， Seong-Hoon
Publikováno v: Journal of Society of Korea Industrial and Systems Engineering. 43:59-66
In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78273ffef36ddf308bd868dd5fab2ac7
https://doi.org/10.11627/jkise.2020.43.4.059
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje