Sayan Sakhakarmi
Biographic Data
| ID | 7947987 |
|---|---|
| NAME | Sayan Sakhakarmi |
| GIVEN NAMES | Sayan |
| FAMILY NAME | Sakhakarmi |
| SIGNATURE | SAKHAKARMI S |
| AFFILIATIONS | University of Nevada, Las Vegas |
| ORCID | 0000-0001-8652-1613 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety
A traditional structural analysis of scaffolding structures requires loading conditions that are only possible during design, but not in operation. Thus, this study proposes a method that can be used during operation to make an automated safety prediction for scaffolds. It implements a divide-and-conquer technique with deep learning. As a test scaffolding, a four-bay, three-story scaffold model was used. Analysis of the model led to 1411 unique s…
No prominent works on this page.
Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety
A traditional structural analysis of scaffolding structures requires loading conditions that are only possible during design, but not in operation. Thus, this study proposes a method that can be used during operation to make an automated safety prediction for scaffolds. It implements a divide-and-conquer technique with deep learning. As a test scaffolding, a four-bay, three-story scaffold model was used. Analysis of the model led to 1411 unique s…
Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Construction Engineering and Safety (1 work) · Data mining (1 work) · Deep learning (1 work) · Divide and conquer algorithms (1 work) · Infrastructure Maintenance and Monitoring (1 work) · Machine learning (1 work)