Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization
- DOI
- 10.1038/s41598-025-20538-0
- Published
- 2026-05-19
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-20538-0,
title = {Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization},
author = {Mohamed A. Shamseldin and Ahmed Farouk Deifalla and Denise-Penelope N. Kontoni and Medhat Araby},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-20538-0},
url = {https://doi.org/10.1038/s41598-025-20538-0}
}RIS
TY - JOUR TI - Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization AU - Mohamed A. Shamseldin AU - Ahmed Farouk Deifalla AU - Denise-Penelope N. Kontoni AU - Medhat Araby PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-025-20538-0 UR - https://doi.org/10.1038/s41598-025-20538-0 ER -
APA
Shamseldin, M. A., Deifalla, A. F., Kontoni, D. N., & Araby, M. (2026). Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization. Scientific Reports. https://doi.org/10.1038/s41598-025-20538-0
Source records
- crossref · retrieved 2026-09-26T09:50:11.720Z