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Enhancing architectural education through artificial intelligence: a case study of an AI-assisted architectural programming and design course
S **, H Tu, J Li, Y Fang, Z Qu, F Xu, K Liu, Y Lin - Buildings, 2024 - mdpi.com
This study addresses the current lack of research on the effectiveness assessment of
Artificial Intelligence (AI) technology in architectural education. Our aim is to evaluate the …
Artificial Intelligence (AI) technology in architectural education. Our aim is to evaluate the …
Research on Factors Influencing the Style of Chinese Historic Districts Based on the Mask R-CNN Deep Learning Model
S Luo, W Shang, Z Yan, S Bi - Buildings, 2024 - mdpi.com
With the rapid development of Chinese cities, the spatial pattern in historical districts has
deteriorated due to a lack of protection measures. Indigenous communities have taken it …
deteriorated due to a lack of protection measures. Indigenous communities have taken it …
FGSSNet: Applying Feature-Guided Semantic Segmentation on real world floorplans
H Norrby, G Färm - 2024 - diva-portal.org
This master thesis introduces FGSSNet, a novel multi-headed featureguided semantic
segmentation (FGSS) architecture designed to improve the generalization ability of …
segmentation (FGSS) architecture designed to improve the generalization ability of …
[PDF][PDF] Deep learning model for discomfort glare detection based on occupants' facial analysis
Any building designed for human occupancy needs to be visually comfortable. Glare from
daylight is one of the main causes of visual discomfort. Glare perception is evaluated by …
daylight is one of the main causes of visual discomfort. Glare perception is evaluated by …