Prediction of the axial capacity of various polygon-type section concrete-filled steel (CFST) columns utilising deep neural network and machine learning regressor

Y Yue Chen (State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials) H Haytham F. Isleem B Bagas R. Subchan M Mohammad Khishe

Article Details

Volume / Issue Vol. 16, Issue 1
Published May 15, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

Y

Yue Chen

State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials

H

Haytham F. Isleem

B

Bagas R. Subchan

M

Mohammad Khishe