Omar Doukari 
- (2024): A distributed collaborative platform for multi-stakeholder multi-level management of renovation projects. In: Journal of Information Technology in Construction, v. 29 (Februar 2024).
- (2024): 3D object recognition using deep learning for automatically generating semantic BIM data. In: Automation in Construction, v. 162 (Juni 2024).
- (2024): An ontology-based tool for safety management in building renovation projects. In: Journal of Building Engineering, v. 84 (Mai 2024).
- (2023): A BIM based tool for evaluating building renovation strategies: the case of three demonstration sites in different European countries. In: Construction Innovation, v. 24, n. 1 (November 2023).
- (2023): A BIM-based Techno-Economic Framework and Tool for Evaluating and Comparing Building Renovation Strategies. In: Journal of Information Technology in Construction, v. 28 (Februar 2023).
- (2022): The efficient generation of 4D BIM construction schedules: A case study of the Nanterre 2 CESI project in France. In: Frontiers in Built Environment, v. 8 (Februar 2022).
- (2022): The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches. In: Buildings, v. 12, n. 8 (31 Juli 2022).
- (2021): Automating excavator productivity measurement using deep learning. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 174, n. 4 (Dezember 2021).
- (2022): Object-centred automated compliance checking: a novel, bottom-up approach. In: Journal of Information Technology in Construction, v. 27 (Januar 2022).
- (2022): Towards an Interoperable Approach for Modelling and Managing Smart Building Data: The Case of the CESI Smart Building Demonstrator. In: Buildings, v. 12, n. 3 (8 März 2022).
- (2023): Whole building life cycle assessment at the design stage: a BIM-based framework using environmental product declaration. In: International Journal of Building Pathology and Adaptation, v. 41, n. 1 (8 März 2023).
- (2020): Automatic generation of building information models from digitized plans. In: Automation in Construction, v. 113 (Mai 2020).
Structurae kooperiert mit
