1. Srinakharinwirot University Institutional Repository

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Results 1-10 of 12 (Search time: 0.002 seconds).
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Issue DateTitleAuthor(s)
2021Potential use of recycled plastic and rubber aggregate in cementitious materials for sustainable construction: A reviewAlyousef R.; Ahmad W.; Ahmad A.; Aslam F.; Joyklad P.; Alabduljabbar H.
2021Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic reviewAhmad W.; Ahmad A.; Ostrowski K.A.; Aslam F.; Joyklad P.; Zajdel P.
2021Application of advanced machine learning approaches to predict the compressive strength of concrete containing supplementary cementitious materialsAhmad W.; Ahmad A.; Ostrowski K.A.; Aslam F.; Joyklad P.; Zajdel P.
2021Computation of high-performance concrete compressive strength using standalone and ensembled machine learning techniquesXu Y.; Ahmad W.; Ahmad A.; Ostrowski K.A.; Dudek M.; Aslam F.; Joyklad P.
2021Prediction of geopolymer concrete compressive strength using novel machine learning algorithmsAhmad A.; Ahmad W.; Chaiyasarn K.; Ostrowski K.A.; Aslam F.; Zajdel P.; Joyklad P.
2021A scientometric review of waste material utilization in concrete for sustainable constructionAhmad W.; Ahmad A.; Ostrowski K.A.; Aslam F.; Joyklad P.
2022Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning AlgorithmsShang M.; Li H.; Ahmad A.; Ahmad W.; Ostrowski K.A.; Aslam F.; Joyklad P.; Majka T.M.
2022A scientometric analysis approach to analyze the present research on recycled aggregate concreteZhang B.; Ahmad W.; Ahmad A.; Aslam F.; Joyklad P.
2022A comprehensive overview of geopolymer composites: A bibliometric analysis and literature reviewYang H.; Liu L.; Yang W.; Liu H.; Ahmad W.; Ahmad A.; Aslam F.; Joyklad P.
2022Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniquesAhmad A.; Ahmad W.; Aslam F.; Joyklad P.

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