Ensemble-based deep learning approach for performance improvement of BIM element classification
Ensemble learning is explored as an approach to improve the classification of BIM elements
using multiple deep learning classifiers. Existing studies have focused on improving the …
using multiple deep learning classifiers. Existing studies have focused on improving the …
Shape encoding for semantic healing of design models and knowledge transfer to scan-to-BIM
FC Collins, M Ringsquandl, A Braun… - Proceedings of the …, 2022 - icevirtuallibrary.com
Automated parsing of design data will increasingly be a prerequisite for efficient data-and
analytics-driven management of building portfolios. The high complexity and low rigidity of …
analytics-driven management of building portfolios. The high complexity and low rigidity of …
Comparative evaluation of deep neural network performance for point cloud-based IFC object classification
Point cloud-based deep neural networks (PC-DNNs) has seen growing interest in the
construction domain due to their remarkable ability to enhance Building Information …
construction domain due to their remarkable ability to enhance Building Information …