semantic_scholarNext MaterialsCited by 1

Machine learning-based prediction and optimization of vickers hardness and ultimate tensile strength in eutectic Al–Si/kyanite/graphite hybrid metal matrix composites

Rahul A. Patil, E. Deore

View free PDFSource page

Related papers

semantic_scholarNext Materials

An explainable machine learning framework for predicting the compressive strength of sustainable metakaolin mortars

View free PDFSource page

semantic_scholarNext Materials

Machine learning-assisted performance prediction and SHAP-based analysis of a multilayer SPR sensor for arsenic detection

Niloy Dutta Anik, Khandoker Tauhid Imam

View free PDFSource page

semantic_scholarNext Materials

Ensemble machine learning models for predicting mechanical properties of epoxy-based nanocomposites

O. Pastukh, Andrii Buketov, O. Totosko, Vitaliy Sotsenko, E. Appazov, Yuriy Petrov, et al.

View free PDFSource page

semantic_scholarNext Materials

Machine learning-guided process optimization of MIAB welding for load-bearing ferrous tube structures

Mukti Chaturvedi, A. S, Ashraff Ali K.S.

View free PDFSource page

crossrefNext Materials2026-07-01Cited by 1

A review on bearing fault diagnosis methods with emphasis on machine learning and deep learning applications

Prachi Dixit, Pawan Pingle, Adinath Funde, Kedarnath Chaudhary, Vikas Kanake

crossrefNext Materials

Machine learning and AI-driven digital twins in manufacturing of advanced metal alloys and compounds: A review

Mohsen Soori, Behrooz Arezoo