Yusuf Arayıcı
Biographic Data
| ID | 6877513 |
|---|---|
| NAME | Yusuf Arayıcı |
| GIVEN NAMES | Yusuf |
| FAMILY NAME | Arayıcı |
| SIGNATURE | ARAYICI Y |
| AFFILIATIONS | Hasan Kalyoncu University |
| ORCID | 0000-0001-5705-2272 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK
This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. By integrating the Uniclass classification system into a multi-resolution workflow, the research addresses key challenges in point cloud classification, including class imbalance, computational constraints, and semantic overlap at coarse resolutions. It adopts an exper…
Assessing the social cost of housing projects on the built environment
Social cost in construction projects
Social cost in construction projects
Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK
This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. By integrating the Uniclass classification system into a multi-resolution workflow, the research addresses key challenges in point cloud classification, including class imbalance, computational constraints, and semantic overlap at coarse resolutions. It adopts an exper…
Assessing the social cost of housing projects on the built environment
Social cost in construction projects
Assessing the social cost of housing projects on the built environment
Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK
This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. By integrating the Uniclass classification system into a multi-resolution workflow, the research addresses key challenges in point cloud classification, including class imbalance, computational constraints, and semantic overlap at coarse resolutions. It adopts an exper…
Geography (3 works) · Business (2 works) · Economics (2 works) · Engineering (2 works) · Environmental planning (2 works) · Environmental resource management (2 works) · Political science (2 works) · Social cost (2 works) · Sustainable Building Design and Assessment (2 works) · Value Engineering and Management (2 works)