Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site

Author:

Chernyshev Denys1,Dolhopolov Serhii2,Honcharenko Tetyana2,Haman Halyna3,Ivanova Tetiana3,Zinchenko Myroslava3

Affiliation:

1. Kyiv National University of Construction and Architecture,First Vice-Rector,Kyiv,Ukraine

2. Kyiv National University of Construction and Architecture,Dept. of Information Technologies,Kyiv,Ukraine

3. Kyiv National University of Construction and Architecture,Dept. of Economic Theory,Kyiv,Ukraine

Publisher

IEEE

Reference14 articles.

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2. Drive-Awake: A YOLOv3 Machine Vision Inference Approach of Eyes Closure for Drowsy Driving Detection

3. Scikit-multilearn: a scikit-based Python environment for performing multi-label classification;szymacski;The Journal of Machine Learning Research,2019

4. YOLOv3 and YOLOv4: Multiple Object Detection for Surveillance Applications

5. YOLOv3: An incremental improvement;redmon;ArXiv,2018

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1. From Blueprint to Build: The Symbiotic Relationship of Digital Twins and Physical Construction;2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL);2024-03-13

2. Unlocking the Potential of Digital Twins in Construction: A Systematic and Quantitative Review Using Text Mining;Buildings;2024-03-06

3. Software Design and Implementation of Intelligent Security System Based on LoRa;2023 15th International Conference on Communication Software and Networks (ICCSN);2023-07-21

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