Stebėti
Seunguk Na
Pavadinimas
Cituota
Cituota
Metai
Acceptance model of artificial intelligence (AI)-based technologies in construction firms: Applying the Technology Acceptance Model (TAM) in combination with the Technology …
S Na, S Heo, S Han, Y Shin, Y Roh
Buildings 12 (2), 90, 2022
2252022
Development of an artificial intelligence model to recognise construction waste by applying image data augmentation and transfer learning
S Na, S Heo, S Han, Y Shin, M Lee
Buildings 12 (2), 175, 2022
582022
Artificial intelligence (AI)-Based technology adoption in the construction industry: a cross national perspective using the technology acceptance model
S Na, S Heo, W Choi, C Kim, SW Whang
Buildings 13 (10), 2518, 2023
372023
Challenges of data refining process during the artificial intelligence development projects in the architecture, engineering and construction industry
S Heo, S Han, Y Shin, S Na
Applied Sciences 11 (22), 10919, 2021
322021
Comparison of carbon dioxide emissions of the ordinary reinforced concrete slab and the voided slab system during the construction phase: A case study of a residential building …
I Paik, S Na
Sustainability 11 (13), 3571, 2019
312019
An image-based steel rebar size estimation and counting method using a convolutional neural network combined with homography
Y Shin, S Heo, S Han, J Kim, S Na
Buildings 11 (10), 463, 2021
272021
Firm size and artificial intelligence (AI)-Based technology adoption: the role of corporate size in South Korean construction companies
S Na, S Heo, W Choi, S Han, C Kim
Buildings 13 (4), 1066, 2023
252023
The Reduction of CO2 Emissions by Application of High-Strength Reinforcing Bars to Three Different Structural Systems in South Korea
S Cho, S Na
Sustainability 9 (9), 1652, 2017
212017
Assessment of CO2 Emissions by Replacing an Ordinary Reinforced Concrete Slab with the Void Slab System in a High-Rise Commercial Residential Complex …
I Paik, S Na, S Yoon
Sustainability 11 (1), 82, 2018
172018
Building information modelling (BIM) based CO2 emissions assessment in the early design stage
MS Oh, S Na
Int. J. Civ. Eng. Technol 8 (5), 1411-1425, 2017
172017
Application of thermal image data to detect rebar corrosion in concrete structures
S Na, I Paik
Applied Sciences 9 (21), 4700, 2019
142019
Evaluation of carbon dioxide emissions amongst alternative slab systems during the construction phase in a building project
I Paik, S Na
Applied Sciences 9 (20), 4333, 2019
142019
Construction waste reduction through application of different structural systems for the slab in a commercial building: A south Korean case
S Na, SJ Heo, S Han
Applied Sciences 11 (13), 5870, 2021
132021
Evaluation of the floor impact sound insulation performance of a voided slab system applied to a high-rise commercial residential-complex building
S Na, I Paik, S Yun, HC Truong, YS Roh
International Journal of Concrete Structures and Materials 13, 1-10, 2019
132019
Comparison of the performance of artificial intelligence models depending on the labelled image by different user levels
H Sunwoo, W Choi, S Na, C Kim, S Heo
Applied Sciences 12 (6), 3136, 2022
122022
Integrating Drone Imagery and AI for Improved Construction Site Management through Building Information Modeling
W Choi, S Na, S Heo
Buildings 14 (4), 1106, 2024
112024
Comparison of environmental impact of three different slab systems for life cycle assessment of a commercial building in South Korea
I Paik, S Na
Applied Sciences 10 (20), 7278, 2020
112020
Reducing greenhouse gas emissions and costs with the alternative structural system for slab: A comparative analysis of South Korea cases
S Na, I Paik
Sustainability 11 (19), 5238, 2019
112019
Investigation of Practitioners’ Perceptions for Developing Building Information Modelling (BIM)-Based Value Analysis Model
J Lee, S Na
Int. J. Civ. Eng. Technol 9, 301-313, 2018
112018
Evaluation of the Flexural Performance and CO2 Emissions of the Voided Slab
S Cho, S Na
Advances in Materials Science and Engineering 2018 (1), 3817580, 2018
102018
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