- Predictive digital twin technologies for achieving net zero carbon emissions: a critical review and future research agenda. Dans: Smart and Sustainable Built Environment. :
- Sources of occupational stress in UK construction projects: an empirical investigation and agenda for future research. Dans: Smart and Sustainable Built Environment. :
- Multi-layers deep learning model with feature selection for automated detection and classification of highway pavement cracks. Dans: Smart and Sustainable Built Environment. :
- An automatic image processing based on Hough transform algorithm for pavement crack detection and classification. Dans: Smart and Sustainable Built Environment. :
- Toward digital construction supply chain-based Industry 4.0 solutions: scientometric-thematic analysis. Dans: Smart and Sustainable Built Environment, v. 13, n. 1 (janvier 2024). (2024):
- Toward digitalization in the construction industry with immersive and drones technologies: a critical literature review. Dans: Smart and Sustainable Built Environment, v. 10, n. 3 (novembre 2021). (2021):
- Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification. Dans: Automation in Construction, v. 160 (avril 2024). (2024):
- Digital transformation of the wood construction supply chain through building information modelling: current state of practice. Dans: Construction Innovation, v. 24, n. 7 (décembre 2023). (2023):
- Automated and interconnected facility management system: An open IFC cloud-based BIM solution. Dans: Automation in Construction, v. 143 (novembre 2022). (2022):
- Artificial intelligence-based voice assistant for BIM data management. Dans: Automation in Construction, v. 140 (août 2022). (2022):
- Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities. Dans: Automation in Construction, v. 132 (décembre 2021). (2021):