Abedi et al./ Supplementary Files/ "Next-Generation Net-Zero Composite for Underwater 3D Printing Construction: Hybrid Machine Learning Optimized LC³ with Recycled Rubber"

This release includes additional decision tree models (Linear, Nonlinear, RF+ANN, LightGBM+ANN) for predicting LC³-based 3DPC performance. The README has been updated to reflect these additions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-17
DOI
https://doi.org/10.5281/zenodo.15253565
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Abedi et al./ Supplementary Files/ "Next-Generation Net-Zero Composite for Underwater 3D Printing Construction: Hybrid Machine Learning Optimized LC³ with Recycled Rubber"

Zenodo (CERN European Organization for Nuclear Research)
Innovations in Concrete and Construction Materials
article

Abedi et al./ Supplementary Files/ "Next-Generation Net-Zero Composite for Underwater 3D Printing Construction: Hybrid Machine Learning Optimized LC³ with Recycled Rubber"

article en

Abstract

This release includes additional decision tree models (Linear, Nonlinear, RF+ANN, LightGBM+ANN) for predicting LC³-based 3DPC performance. The README has been updated to reflect these additions.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Innovations in Concrete and Construction Materials
DOIOpen Access PDFOpenAlex
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Abedi et al./ Supplementary Files/ "Next-Generation Net-Zero Composite for Underwater 3D Printing Construction: Hybrid Machine Learning Optimized LC³ with Recycled Rubber" · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS