An improved method for calculating roll deformation of six-high rolling mill: enhances computation speed and accuracy DOI
Yafei Chen,

Pingjie Feng,

Jihan Zhou

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 8, 2024

Language: Английский

Optimizing NGBoost with Dynamic Sequential Model-Based Optimization for Predicting UHPC Compressive Strength on Heterogeneous Datasets DOI
Taimur Rahman, Md. Farhad Momin,

S. Podder

et al.

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 112405 - 112405

Published: April 1, 2025

Language: Английский

Citations

0
Enhancing Concrete Properties Through the Integration of Recycled Coarse Aggregate: A Machine Learning Approach for Sustainable Construction DOI
Rupesh Kumar Tipu, Owais Ahmad Shah, Satvik Vats

et al.

Published: Feb. 21, 2024

This study presents a novel approach to predict the compressive strength of concrete incorporating recycled coarse aggregate using machine learning models. The research begins with an extensive dataset collected from literature studies, encompassing various mixtures. Statistical analyses reveal dataset's characteristics, paving way for meticulous preprocessing, including scaling features. Three prominent ensemble models—Random Forest Regression, Gradient Boosting and XGBoost Regression—are employed evaluated 5-fold cross-validation. results demonstrate commendable performance across all models, emerging as top performer. SHAP analysis provides insights into feature importance, highlighting substantial influence factors such curing age, cement, fly ash. not only contributes understanding properties (RCA) but also underscores potential in advancing sustainable construction practices. Future could explore additional algorithms, diverse datasets, real-time monitoring comprehensive applicability industry.

Language: Английский

Citations

2
Parametric evaluation and prediction of design parameters of geofoam using artificial neural network and extreme gradient boosting models DOI
Parvathi Geetha Sreekantan, Aali Pant, G. V. Ramana

et al.

Innovative Infrastructure Solutions, Journal Year: 2024, Volume and Issue: 9(7)

Published: July 1, 2024

Language: Английский

Citations

2
Eco-Friendly Nanotechnology in Rheumatoid Arthritis: ANFIS-XGBoost Enhanced Layered Nanomaterials DOI
Zhiyong Zhang, Mingtao Ye, Yisu Ge

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119832 - 119832

Published: Aug. 23, 2024

Language: Английский

Citations

1
An improved method for calculating roll deformation of six-high rolling mill: enhances computation speed and accuracy DOI
Yafei Chen,

Pingjie Feng,

Jihan Zhou

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 8, 2024

Language: Английский

Citations

1