Работы, цитирующие эту работу

Работ: 3

Работа: Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques

1. Empirical models for compressive and tensile strength of basalt fiber reinforced concrete

   Muhammad Mansoor Asghar, Muhammad Faisal Javed, M. Ijaz Khan +3

   СтатьяInnovative concrete reinforcement materialsScientific Reports2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.000874

2. Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models

   Asad Ullah Khan, Raheel Asghar, Najmul Hassan +4

   СтатьяInnovative concrete reinforcement materialsMultiscale and Multidisciplinary Modeling Experiments and Design2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000971

3. Optimizing the Performance Characteristics of SBS - Geopolymer Modified Bitumen: A Data-Driven Approach with ANN and Design Expert Software

   Perviz Ahmedzade, Burak Yiğit Katanalp, Murat Taştan +2

   ГлаваConcrete and Cement Materials ResearchCommunications in computer and information science2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.chapter.000157