Prediction of anisotropic property of activated metal inert gas welding by employing different supervised machine learning models
- DOI
- 10.1016/j.mex.2025.103514
- Published
- 2025-12
- Container
- MethodsX
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2025.103514,
title = {Prediction of anisotropic property of activated metal inert gas welding by employing different supervised machine learning models},
author = {Ruturaj U. Kakade and Nitin Khedkar and Amol Dalavi},
year = {2025},
journal = {MethodsX},
doi = {10.1016/j.mex.2025.103514},
url = {https://doi.org/10.1016/j.mex.2025.103514}
}RIS
TY - JOUR TI - Prediction of anisotropic property of activated metal inert gas welding by employing different supervised machine learning models AU - Ruturaj U. Kakade AU - Nitin Khedkar AU - Amol Dalavi PY - 2025 JO - MethodsX DO - 10.1016/j.mex.2025.103514 UR - https://doi.org/10.1016/j.mex.2025.103514 ER -
APA
Kakade, R. U., Khedkar, N., & Dalavi, A. (2025). Prediction of anisotropic property of activated metal inert gas welding by employing different supervised machine learning models. MethodsX. https://doi.org/10.1016/j.mex.2025.103514
Source records
- crossref · retrieved 2026-09-27T10:26:53.900Z