Nivin A. Ghamry
- (2023): Forecasting the Strength Characteristics of Concrete incorporating Waste Foundry Sand using advance machine algorithms including deep learning. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).
- (2023): Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).
- (2023): Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature. In: Case Studies in Construction Materials, v. 18 (Juli 2023).
Structurae kooperiert mit
