| 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 | 310 | 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 | 110 | 2021 |
| 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 | 102 | 2021 |
| Evaluation of the height 3D roughness parameters of concrete substrate and the adhesion to epoxy resin S Czarnecki, J Hoła International Journal of Adhesion and Adhesives 67, 3-13, 2016 | 88 | 2016 |
| An intelligent model for the prediction of the compressive strength of cementitious composites with ground granulated blast furnace slag based on ultrasonic pulse velocity … S Czarnecki, M Shariq, M Nikoo, Ł Sadowski Measurement 172, 108951, 2021 | 71 | 2021 |
| Pull-off adhesion prediction of variable thick overlay to the substrate Ł Sadowski, J Hoła, S Czarnecki, D Wang Automation in Construction 85, 10-23, 2018 | 47 | 2018 |
| The nature-inspired metaheuristic method for predicting the creep strain of green concrete containing ground granulated blast furnace slag Ł Sadowski, M Nikoo, M Shariq, E Joker, S Czarnecki Materials 12 (2), 293, 2019 | 46 | 2019 |
| Artificial neural networks for non-destructive identification of the interlayer bonding between repair overlay and concrete substrate S Czarnecki, Ł Sadowski, J Hoła Advances in Engineering Software 141, 102769, 2020 | 36 | 2020 |
| The effect of basalt aggregates and mineral admixtures on the mechanical properties of concrete exposed to sulphate attacks A Karasin, M Hadzima-Nyarko, E Işık, M Doğruyol, IB Karasin, ... Materials 15 (4), 1581, 2022 | 34 | 2022 |
| Non-destructive neural identification of the bond between concrete layers in existing elements Ł Sadowski, J Hoła, S Czarnecki Construction and Building Materials 127, 49-58, 2016 | 32 | 2016 |
| Random forest algorithm and support vector machine for nondestructive assessment of mass moisture content of brick walls in historic buildings A Hoła, S Czarnecki Automation in Construction 149, 104793, 2023 | 29 | 2023 |
| Mechanical and microstructural properties of ordinary concrete with high additions of crushed glass C Belebchouche, K Moussaceb, SE Bensebti, A Aït-Mokhtar, A Hammoudi, ... Materials 14 (8), 1872, 2021 | 29 | 2021 |
| Evaluation of interlayer bonding in layered composites based on non-destructive measurements and machine learning: Comparative analysis of selected learning algorithms S Czarnecki, Ł Sadowski, J Hoła Automation in Construction 132, 103977, 2021 | 27 | 2021 |
| Non-destructive evaluation of the bond between a concrete added repair layer with variable thickness and a substrate layer using ANN S Czarnecki Procedia Engineering 172, 194-201, 2017 | 24 | 2017 |
| The effect of the amount and particle size of the waste quartz powder on the adhesive properties of epoxy resin coatings A Chowaniec, S Czarnecki, Ł Sadowski International Journal of Adhesion and Adhesives 117, 103009, 2022 | 19 | 2022 |
| The effect of mineral powders derived from industrial wastes on selected mechanical properties of concrete A Galińska, S Czarnecki IOP Conference Series: Materials Science and Engineering 245 (3), 032039, 2017 | 19 | 2017 |
| Morphogenesis in solidification phases of lightweight concrete surface at early ages Ł Sadowski, M Popek, S Czarnecki, TG Mathia Construction and Building Materials 148, 96-103, 2017 | 19 | 2017 |
| A nondestructive method of investigating the morphology of concrete sur-faces by means of newly designed 3D scanner S CZARNECKI, J HOŁA, Ł SADOWSKI XI Europejska Konferencja Badań Nieniszczących, ECNDT, 2014 | 14 | 2014 |
| Brick wall moisture evaluation in historic buildings using neural networks A Hoła, S Czarnecki Automation in Construction 141, 104429, 2022 | 13 | 2022 |
| Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder S Czarnecki, M Hadzima-Nyarko, A Chajec, Ł Sadowski Scientific reports 12 (1), 13242, 2022 | 13 | 2022 |
Łukasz SadowskiPolitechnika WrocławskaEmail verificata su pwr.edu.pl