Name
Title | ||
|---|---|---|
A type-2 fuzzy system-based approach for image data fusion to create building information models |
Abstract | ||
|---|---|---|
•Manually creating BIM models is a high-cost task•Semantic segmentation can be used to automatically create BIM models from images•Convolutional Neural Networks are effective for segmentation but are not explainable•An explainable AI model allows a human user to interact with it•Fuzzy Rule-based systems can be used as explainable AI models |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.inffus.2022.07.007 | Information Fusion |
Keywords | DocType | Volume |
Building Information Modelling,BIM,Semantic segmentation,Type-2 fuzzy logic systems,Convolutional neural network (CNN) | Journal | 88 |
ISSN | Citations | PageRank |
1566-2535 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hugo Leon-Garza | 1 | 0 | 0.34 |
| Hani Hagras | 2 | 1747 | 129.26 |
| Anasol Pena-Rios | 3 | 0 | 0.34 |
| Anthony Conway | 4 | 0 | 0.34 |
| Gilbert Owusu | 5 | 0 | 0.34 |