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 | 225 | 2022 |
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 | 58 | 2022 |
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 | 37 | 2023 |
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 | 32 | 2021 |
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 | 31 | 2019 |
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 | 27 | 2021 |
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 | 25 | 2023 |
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 | 21 | 2017 |
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 | 17 | 2018 |
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 | 17 | 2017 |
Application of thermal image data to detect rebar corrosion in concrete structures S Na, I Paik Applied Sciences 9 (21), 4700, 2019 | 14 | 2019 |
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 | 14 | 2019 |
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 | 13 | 2021 |
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 | 13 | 2019 |
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 | 12 | 2022 |
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 | 11 | 2024 |
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 | 11 | 2020 |
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 | 11 | 2019 |
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 | 11 | 2018 |
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 | 10 | 2018 |