Kayoko Kobayashi
Biographic Data
| ID | 3795548 |
|---|---|
| NAME | Kayoko Kobayashi |
| GIVEN NAMES | Kayoko |
| FAMILY NAME | Kobayashi |
| SIGNATURE | KOBAYASHI K |
| AFFILIATIONS | Kyoto University |
| ORCID | 0000-0001-9321-0522 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
The Mystery of the Ultimatum Game
Non-destructive method for wood identification using conventional X-ray computed tomography data
We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…
Non-destructive method for wood identification using conventional X-ray computed tomography data
We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…
Non-destructive method for wood identification using conventional X-ray computed tomography data
We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…
The Mystery of the Ultimatum Game
Artificial Intelligence (1 work) · Computed tomography (1 work) · Computer Science (1 work) · Computer vision (1 work) · Cultural Heritage Materials Analysis (1 work) · Digital Games and Media (1 work) · Geography (1 work) · Gray level (1 work) · Grayscale (1 work) · High resolution (1 work)