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Abdeen, F N, Gunatilaka, R N, Sepasgozar, S M E and Edwards, D J (2024) The usability of a novel mobile augmented reality application for excavation process considering safety and productivity in construction. Construction Innovation, 24(04), 892-911.
Ahmadian, F F A, Rashidi, T H, Akbarnezhad, A and Waller, S T (2017) BIM-enabled sustainability assessment of material supply decisions. Engineering, Construction and Architectural Management, 24(04), 668-95.
Al-Hammad, A M, Al-Mubaiyadh, S and Mahmoud, T (1996) Public versus private sector's assessment of problems facing the building maintenance industry in Saudi Arabia. Building Research & Information, 24(04), 245–54.
Bajpai, A and Misra, S C (2024) Evaluation of success factors to implement digitalization in the construction industry. Construction Innovation, 24(04), 865-91.
Best, R and Langston, C (2006) Evaluation of construction contractor performance: a critical analysis of some recent research. Construction Management and Economics, 24(04), 439-45.
Buijs, A and Silvester, S (1996) Demonstration projects and sustainable housing. Building Research & Information, 24(04), 195–202.
Cheung, F K T and Skitmore, M (2006) A modified storey enclosure model. Construction Management and Economics, 24(04), 391-405.
Daniel, E I, Oshodi, O, Dabara, D and Dimka, N (2024) Towards closing the housing gap in the UK: exploration of the influencing factors and the way forward. Construction Innovation, 24(04), 965-85.
Do, S T, Nguyen, V T and Banlasan, D (2024) Social media sensing framework for urban infrastructure management: a Philippine case study. Construction Innovation, 24(04), 1117-36.
Ejohwomu, O A, Oshodi, O S and Lam, K C (2017) Nigeria’s construction industry: Barriers to effective communication. Engineering, Construction and Architectural Management, 24(04), 652-67.
Ekanayake, B, Ahmadian Fard Fini, A, Wong, J K W and Smith, P (2024) A deep learning-based approach to facilitate the as-built state recognition of indoor construction works. Construction Innovation, 24(04), 933-49.
Enshassi, A (1996) Training for Palestinian engineers to face the challenges of multinational enterprises in the Gaza Strip. Building Research & Information, 24(04), 222–7.
GhaffarianHoseini, A, Tien, D D, Naismith, N, Tookey, J and GhaffarianHoseini, A (2017) Amplifying the practicality of contemporary building information modelling implementations for New Zealand green building certification (green star). Engineering, Construction and Architectural Management, 24(04), 696-714.
Golabchi, H and Hammad, A (2024) Estimating labor resource requirements in construction projects using machine learning. Construction Innovation, 24(04), 1048-65.
Gunning, J G and Cooke, E (1996) The influence of occupational stress on construction professionals. Building Research & Information, 24(04), 213–22.
Hassanein, A A G (1996) Factors affecting the bidding behaviour of contractors in Egypt. Building Research & Information, 24(04), 228–36.
Hassanein, A A G and Hakam, Z H R (1996) A bidding decision index for construction contractors. Building Research & Information, 24(04), 237–44.
Hu, X and Liu, C (2017) Total factor productivity measurement with carbon reduction. Engineering, Construction and Architectural Management, 24(04), 575-92.
Huang, Y-L and Chou, S-P (2006) Valuation of the minimum revenue guarantee and the option to abandon in BOT infrastructure projects. Construction Management and Economics, 24(04), 379-89.
Johnson, C, Lizarralde, G and Davidson, C H (2006) A systems view of temporary housing projects in post-disaster reconstruction. Construction Management and Economics, 24(04), 367-78.
Kazemi, R M, Riley, D, Asadi, S and Delgoshaei, P (2017) Improving the performance profile of energy conservation measures at the Penn State University Park campus. Engineering, Construction and Architectural Management, 24(04), 610-28.
Kindangen, J I (1996) Artificial neural networks and naturally ventilated buildings. Building Research & Information, 24(04), 203–8.
Malla, V (2024) Structuration of lean-agile integrated factors for construction projects. Construction Innovation, 24(04), 986-1004.
Oke, A E, Aliu, J, Onajite, S and Simeon, M (2024) Success factors of digital technologies (DT) tools adoption for sustainable construction in a developing economy. Construction Innovation, 24(04), 950-64.
Oke, A E, Aliu, J, Tunji-Olayeni, P and Abayomi, T (2024) Application of gamification for sustainable construction: an evaluation of the challenges. Construction Innovation, 24(04), 1066-84.
Olugboyega, O, Ilesanmi, K E, Oseghale, G E and Aigbavboa, C (2024) The link between construction apps’ acceptance and digital attributes of construction professionals: perspectives from digital competence model. Construction Innovation, 24(04), 912-32.
Panahi, B, Moezzi, E, Preece, C N and Wan, Z W N (2017) Value conflicts and organizational commitment of internal construction stakeholders. Engineering, Construction and Architectural Management, 24(04), 554-74.
Parchami, J M and Shoar, S (2017) A hybrid SD-dematel approach to develop a delay model for construction projects. Engineering, Construction and Architectural Management, 24(04), 629-51.
Rahmani, F, Maqsood, T and Khalfan, M (2017) An overview of construction procurement methods in Australia. Engineering, Construction and Architectural Management, 24(04), 593-609.
Silveira, B F and Costa, D B (2024) Method for automating the processes of generating and using 4D BIM models integrated with location-based planning and Last Planner® System. Construction Innovation, 24(04), 1005-25.
Stewart, R A and Spencer, C A (2006) Six-sigma as a strategy for process improvement on construction projects: a case study. Construction Management and Economics, 24(04), 339-48.
Tang, C M, Wong, C W Y, Leung, A Y T and Lam, K C (2006) Selection of funding schemes by a borrowing decision model: a Hong Kong case study. Construction Management and Economics, 24(04), 349-65.
Thomas, A V, Kalidindi, S N and Ganesh, L S (2006) Modelling and assessment of critical risks in BOT road projects. Construction Management and Economics, 24(04), 407-24.
Uzun, C and Cangür, R E (2024) An ontological assessment proposal for architectural outputs of generative adversarial network. Construction Innovation, 24(04), 1165-84.
- Type: Journal Article
- Keywords: AEC industry; bay window ontology; building knowledge representation; ontological assessment; stylegan; yolo object detection
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-03-2023-0053
- Abstract:
Purpose: This study presents an ontological approach to assess the architectural outputs of generative adversarial networks. This paper aims to assess the performance of the generative adversarial network in representing building knowledge. Design/methodology/approach: The proposed ontological assessment consists of five steps. These are, respectively, creating an architectural data set, developing ontology for the architectural data set, training the You Only Look Once object detection with labels within the proposed ontology, training the StyleGAN algorithm with the images in the data set and finally, detecting the ontological labels and calculating the ontological relations of StyleGAN-generated pixel-based architectural images. The authors propose and calculate ontological identity and ontological inclusion metrics to assess the StyleGAN-generated ontological labels. This study uses 300 bay window images as an architectural data set for the ontological assessment experiments. Findings: The ontological assessment provides semantic-based queries on StyleGAN-generated architectural images by checking the validity of the building knowledge representation. Moreover, this ontological validity reveals the building element label-specific failure and success rates simultaneously. Originality/value: This study contributes to the assessment process of the generative adversarial networks through ontological validity checks rather than only conducting pixel-based similarity checks; semantic-based queries can introduce the GAN-generated, pixel-based building elements into the architecture, engineering and construction industry. © 2023, Emerald Publishing Limited.
Wang, K, Guo, F, Zhou, R and Qian, L (2024) Implementation of augmented reality in BIM-enabled construction projects: a bibliometric literature review and a case study from China. Construction Innovation, 24(04), 1085-116.
Wilson, J G and Gupta, N K (1996) Assessment of structure formation in fresh concrete by measurement of its electrical resistance. Building Research & Information, 24(04), 209–12.
Wong, J T Y and Hui, E C M (2006) Construction project risks: further considerations for constructors' pricing in Hong Kong. Construction Management and Economics, 24(04), 425-38.
Wuni, I Y and Mazher, K M (2024) Ending the suitability quantification dilemma: intelligent decision support system for modular integrated construction in a high-density metropolis. Construction Innovation, 24(04), 1026-47.
Zoleykani, M J, Abbasianjahromi, H, Banihashemi, S, Tabadkani, S A and Hajirasouli, A (2024) Extended reality (XR) technologies in the construction safety: systematic review and analysis. Construction Innovation, 24(04), 1137-64.