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Showing results 6 to 13 of 13 < previous

Issue Date	Title	Author(s)
2022	Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques	Ahmad A.; Ahmad W.; Aslam F.; Joyklad P.
2021	Compressive strength prediction via gene expression programming (Gep) and artificial neural network (ann) for concrete containing rca	Ahmad A.; Chaiyasarn K.; Farooq F.; Ahmad W.; Suparp S.; Aslam F.
2021	Computation of high-performance concrete compressive strength using standalone and ensembled machine learning techniques	Xu Y.; Ahmad W.; Ahmad A.; Ostrowski K.A.; Dudek M.; Aslam F.; Joyklad P.
2021	Potential use of recycled plastic and rubber aggregate in cementitious materials for sustainable construction: A review	Alyousef R.; Ahmad W.; Ahmad A.; Aslam F.; Joyklad P.; Alabduljabbar H.
2022	Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms	Shang M.; Li H.; Ahmad A.; Ahmad W.; Ostrowski K.A.; Aslam F.; Joyklad P.; Majka T.M.
2022	Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms	Shang M.; Li H.; Ahmad A.; Ahmad W.; Ostrowski K.A.; Aslam F.; Joyklad P.; Majka T.M.
2021	Prediction of geopolymer concrete compressive strength using novel machine learning algorithms	Ahmad A.; Ahmad W.; Chaiyasarn K.; Ostrowski K.A.; Aslam F.; Zajdel P.; Joyklad P.
2021	Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review	Ahmad W.; Ahmad A.; Ostrowski K.A.; Aslam F.; Joyklad P.; Zajdel P.

Showing results 6 to 13 of 13 < previous