semantic_scholarNext MaterialsCited by 0Predictive modelling of surface and wetting behaviour in diamond-reinforced zinc coatings using machine learningS. Awasthi, Lokesh Kumar, Ashish GoyalView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarNext MaterialsEnsemble machine learning models for predicting mechanical properties of epoxy-based nanocompositesO. Pastukh, Andrii Buketov, O. Totosko, Vitaliy Sotsenko, E. Appazov, Yuriy Petrov, et al.View free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarNext MaterialsEffect of tensile testing parameters on the mechanical performance of Poulsenia Armata fiber cloth: Experimental analysis and machine learning modelingGermán Omar Barrionuevo, Wilson Navas-Pinto, Xavier Sánchez-Sánchez, M. Zylberberg, D. CreeView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarNext MaterialsCited by 1Machine learning-based prediction and optimization of vickers hardness and ultimate tensile strength in eutectic Al–Si/kyanite/graphite hybrid metal matrix compositesRahul A. Patil, E. DeoreView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarNext MaterialsAn explainable machine learning framework for predicting the compressive strength of sustainable metakaolin mortarsSameh FuqahaView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarNext MaterialsMachine learning-assisted performance prediction and SHAP-based analysis of a multilayer SPR sensor for arsenic detectionNiloy Dutta Anik, Khandoker Tauhid ImamView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver
semantic_scholarNext MaterialsA numerical investigation of carbon conversion using a random pore model in gasification process for selected carbonaceous feedstocks, kinetics studies, artificial intelligence and machine learning applicationsPrasanta DasView free PDFPreviewSource pageCiteBibTeXAPAMLAChicagoIEEEVancouver