Sungkon Moon on Muck Rack

Sungkon Moon

As seen in: MDPI, Emerald Publishing
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Articles

AI-Driven Database Development for Seismic Loss Estimation in Data-Deficient Regions Using Open-Source Data

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By Kieun Lee, Taeyong Kim, Doo-Yeol Yoo, Sungkon Moon
| ascelibrary.org
Get full access to this article View all available purchase options and get full access to this article. Data Availability Statement Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Acknowledgments This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) (RS-2025-21063090 and RS-2023-00242859).
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Image Augmentation Approaches for Building Dimension Estimation in Street View Images Using Object Detection and Instance Segmentation Based on Deep Learning

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By Jae-Jun Kim, Sungkon Moon, Seunghyeon Wang, Dongjin Hwang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Identification of Occupant Dissatisfaction Factors in Newly Constructed Apartments: Text Mining and Semantic Network Analysis

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By Inho Jo, SangHyeok Han, Seok-Ho Noh, Sungkon Moon
| MDPI
1. Introduction The construction industry in South Korea accounts for 14.6% of the country’s gross domestic product (GDP) [1]. In turn, apartments represent 78% of the residential market in South Korea. In this regard, defects occurring during the construction and/or occupancy of apartments have emerged as a serious social issue.
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