An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations DOI Creative Commons

Baoqian Huan,

Xianglong Li, Jian-Guo Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 3, 2025

Language: Английский

Prediction of residual stresses in GFRP strips under wind-sand erosion by interpretable machine learning methods: feature engineering and SHAP analysis DOI
Wenhao Ren,

A Siha,

Changdong Zhou

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(6)

Published: April 15, 2025

Language: Английский

Citations

0

Mean Limiting Pressure Factors Determination in Contiguous Pile Walls using RAFELA and Nonlinear Regression Models in Spatially Random Soil DOI Creative Commons

Divesh Ranjan Kumar,

Sittha Kaorapapong,

Warit Wipulanusat

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104436 - 104436

Published: Feb. 1, 2025

Language: Английский

Citations

0

An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations DOI Creative Commons

Baoqian Huan,

Xianglong Li, Jian-Guo Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 3, 2025

Language: Английский

Citations

0