Physics-Informed Stacking Ensemble for Simultaneous Prediction of Surface Roughness and Sound Pressure Level in VBD Marble Milling — Dataset and Code
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2026
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| _version_ | 1866901114570407936 |
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| author | Özkan, Erkan Öz, Oğuzhan |
| author_facet | Özkan, Erkan Öz, Oğuzhan |
| contents | <p>Experimental datasets (2,640 observations each for Afyon White and Afyon Grey marble), Google Colab notebooks, and all reproducible output files for the physics-informed stacking ensemble study. The pipeline combines Boruta-SHAP feature selection, chronological blocked cross-validation, and a Ridge meta-learner to simultaneously predict surface roughness (Ra) and sound pressure level (Lp) in VBD marble milling.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19372700 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Physics-Informed Stacking Ensemble for Simultaneous Prediction of Surface Roughness and Sound Pressure Level in VBD Marble Milling — Dataset and Code Özkan, Erkan Öz, Oğuzhan marble milling surface roughness sound pressure level machine learning stacking ensemble vacuum brazed diamond Boruta-SHAP <p>Experimental datasets (2,640 observations each for Afyon White and Afyon Grey marble), Google Colab notebooks, and all reproducible output files for the physics-informed stacking ensemble study. The pipeline combines Boruta-SHAP feature selection, chronological blocked cross-validation, and a Ridge meta-learner to simultaneously predict surface roughness (Ra) and sound pressure level (Lp) in VBD marble milling.</p> |
| title | Physics-Informed Stacking Ensemble for Simultaneous Prediction of Surface Roughness and Sound Pressure Level in VBD Marble Milling — Dataset and Code |
| topic | marble milling surface roughness sound pressure level machine learning stacking ensemble vacuum brazed diamond Boruta-SHAP |
| url | https://doi.org/10.5281/zenodo.19372700 |