Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms H Song, A Ahmad, F Farooq, KA Ostrowski, M Maślak, S Czarnecki, ... Construction and Building Materials 308, 125021, 2021 | 204 | 2021 |
Prediction of compressive strength of fly ash based concrete using individual and ensemble algorithm A Ahmad, F Farooq, P Niewiadomski, K Ostrowski, A Akbar, F Aslam, ... Materials 14 (4), 794, 2021 | 163 | 2021 |
A scientometric review of waste material utilization in concrete for sustainable construction W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad Case Studies in Construction Materials 15, e00683, 2021 | 124 | 2021 |
Comparative study of supervised machine learning algorithms for predicting the compressive strength of concrete at high temperature A Ahmad, KA Ostrowski, M Maślak, F Farooq, I Mehmood, A Nafees Materials 14 (15), 4222, 2021 | 111 | 2021 |
Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad, P Zajdel Case Studies in Construction Materials 15, e00698, 2021 | 87 | 2021 |
A comparative study for the prediction of the compressive strength of self-compacting concrete modified with fly ash F Farooq, S Czarnecki, P Niewiadomski, F Aslam, H Alabduljabbar, ... Materials 14 (17), 4934, 2021 | 81 | 2021 |
Application of advanced machine learning approaches to predict the compressive strength of concrete containing supplementary cementitious materials W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad, P Zajdel Materials 14 (19), 5762, 2021 | 79 | 2021 |
Potential use of granite waste sourced from rock processing for the application as coarse aggregate in high-performance self-compacting concrete K Ostrowski, D Stefaniuk, Ł Sadowski, K Krzywiński, M Gicala, ... Construction and Building Materials 238, 117794, 2020 | 79 | 2020 |
Application of novel machine learning techniques for predicting the surface chloride concentration in concrete containing waste material A Ahmad, F Farooq, KA Ostrowski, K Śliwa-Wieczorek, S Czarnecki Materials 14 (9), 2297, 2021 | 77 | 2021 |
Prediction of geopolymer concrete compressive strength using novel machine learning algorithms A Ahmad, W Ahmad, K Chaiyasarn, KA Ostrowski, F Aslam, P Zajdel, ... Polymers 13 (19), 3389, 2021 | 72 | 2021 |
An experimental and empirical study on the use of waste marble powder in construction material M Sufian, S Ullah, KA Ostrowski, A Ahmad, A Zia, K Śliwa-Wieczorek, ... Materials 14 (14), 3829, 2021 | 71 | 2021 |
The effect of the morphology of coarse aggregate on the properties of self-compacting high-performance fibre-reinforced concrete K Ostrowski, Ł Sadowski, D Stefaniuk, D Wałach, T Gawenda, K Oleksik, ... Materials 11 (8), 1372, 2018 | 68 | 2018 |
Compressive behaviour of concrete-filled carbon fiber-reinforced polymer steel composite tube columns made of high performance concrete K Ostrowski, M Dudek, Ł Sadowski Composite Structures 234, 111668, 2020 | 59 | 2020 |
Predicting the mechanical properties of RCA-based concrete using supervised machine learning algorithms M Shang, H Li, A Ahmad, W Ahmad, KA Ostrowski, F Aslam, P Joyklad, ... Materials 15 (2), 647, 2022 | 57 | 2022 |
Computation of high-performance concrete compressive strength using standalone and ensembled machine learning techniques Y Xu, W Ahmad, A Ahmad, KA Ostrowski, M Dudek, F Aslam, P Joyklad Materials 14 (22), 7034, 2021 | 55 | 2021 |
Analyzing the compressive strength of ceramic waste-based concrete using experiment and artificial neural network (ANN) approach H Song, A Ahmad, KA Ostrowski, M Dudek Materials 14 (16), 4518, 2021 | 51 | 2021 |
Simulation of depth of wear of eco-friendly concrete using machine learning based computational approaches MA Khan, F Farooq, MF Javed, A Zafar, KA Ostrowski, F Aslam, ... Materials 15 (1), 58, 2021 | 47 | 2021 |
Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete AH Naser, AH Badr, SN Henedy, KA Ostrowski, H Imran Case Studies in Construction Materials 17, e01262, 2022 | 46 | 2022 |
The utilization of waste marble dust as a cement replacement in air-cured mortar N Toubal Seghir, M Mellas, Ł Sadowski, A Krolicka, A Żak, K Ostrowski Sustainability 11 (8), 2215, 2019 | 44 | 2019 |
Prediction of compressive strength of fly-ash-based concrete using ensemble and non-ensemble supervised machine-learning approaches Y Song, J Zhao, KA Ostrowski, MF Javed, A Ahmad, MI Khan, F Aslam, ... Applied Sciences 12 (1), 361, 2021 | 32 | 2021 |