Ushbu ishga iqtibos qilgan ishlar

3 ta ish

Ish: Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

1. Performance prediction and analysis of engineered cementitious composites based on machine learning

   Wenguang Chen, Роман Федюк, Jie Yu +4

   MaqolaOAOchiq kirishInnovative concrete reinforcement materialsDevelopments in the Built Environment20242 iqtibos

   ABIABI:AkademIndex/2024.article.000297

2. Tribological Properties Assessment of Metallic Glasses Through a Genetic Algorithm-Optimized Machine Learning Model

   Untung Rahardja, Arif Sarı, Ali Alsalamy +3

   MaqolaMetallic Glasses and Amorphous AlloysMetals and Materials International20230 iqtibos

   ABIABI:AkademIndex/2023.article.000099

3. Prediction of early age compressive strength of concrete using machine learning

   Ashok Kumar Palanisamy, D. Jegatheeswaran, Christo Ananth +4

   MaqolaOAOchiq kirishConcrete Properties and BehaviorScientific Reports20250 iqtibos

   ABIABI:AkademIndex/2025.article.001432