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mediaTUM GesamtbestandEinrichtungenForschungszentrenInstitute for Advanced Study (IAS)Research AreasResearch Area: Advanced Computation and ModelingFocus Group: Built Environment Digital Twinning

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Hong, Ying;Xie, Haiyan;Bhumbra, Gary;Brilakis, Ioannis
Comparing Natural Language Processing Methods to Cluster Construction Schedules
Journal of Construction Engineering and Management
2021
147
10

Swanborough, Jack;Kim, Min-Koo;Agapaki, Eva;Brilakis, Ioannis
Automated optimum visualization system for construction drawing reading
Journal of Information Technology in Construction
2021
26
681-696

Agapaki, Eva;Brilakis, Ioannis
Instance Segmentation of Industrial Point Cloud Data
Journal of Computing in Civil Engineering
2021
35
6
04021022

Agapaki, Eva;Brilakis, Ioannis
CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities
Journal of Construction Engineering and Management
2021
147
11
04021145

Fitzsimmons, John Patrick;Lu, Ruodan;Hong, Ying;Brilakis, Ioannis
Construction schedule risk analysis – a hybrid machine learning approach
Journal of Information Technology in Construction
2022
27
70-93

Argyroudis, Sotirios A.;Mitoulis, Stergios Aristoteles;Chatzi, Eleni;Baker, Jack W.;Brilakis, Ioannis;Gkoumas, Konstantinos;Vousdoukas, Michalis;Hynes, William;Carluccio, Savina;Keou, Oceane;Frangopol, Dan M.;Linkov, Igor
Digital technologies can enhance climate resilience of critical infrastructure
Climate Risk Management
2022
35
100387

Assadzadeh, Amin;Arashpour, Mehrdad;Brilakis, Ioannis;Ngo, Tuan;Konstantinou, Eirini
Vision-based excavator pose estimation using synthetically generated datasets with domain randomization
Automation in Construction
2022
134
104089

Disser, Michael;Hoffmann, André;Kuhn, Luisa;Scheich, Patrick;Institut Für Numerische Methoden Und Informatik Im Bauwesen, TU Darmstadt
32. Forum Bauinformatik 2021
Towards applicable Scan-to-BIM and Scan-to-Floorplan: An end-to-end experiment
2021

Pan, Yuandong;Braun, Alex;Borrmann, André;Brilakis, Ioannis
Void-growing: a novel Scan-to-BIM method for manhattan world buildings from point cloud
Proceedings of the 2021 European Conference on Computing in Construction
University College Dublin
2021

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