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Krzysztof Adam Ostrowski
Tytuł
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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
2012021
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
1602021
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
1232021
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
1082021
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
862021
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
812021
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
792020
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
772021
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
772021
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
712021
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
712021
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
682018
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
592020
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
572022
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
552021
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
502021
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
472021
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
462022
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
442019
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
312021
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