| Score-based Bayesian belief network structure learning in damage risk modelling of mining areas building development J Rusek, K Tajduś, K Firek, A Jędrzejczyk Journal of Cleaner Production 296, 126528, 2021 | 20 | 2021 |
| Convolutional neural network and support vector machine for prediction of damage intensity to multi-storey prefabricated RC buildings A Jędrzejczyk, K Firek, J Rusek Energies 15 (13), 4736, 2022 | 11 | 2022 |
| Partial least squares regression approach in the analysis of damage intensity changes to prefabricated RC buildings during the long term of mining activity A Jędrzejczyk, A Byrdy, K Firek, J Rusek Applied Sciences 12 (1), 467, 2022 | 6 | 2022 |
| Bayesian networks and Support Vector Classifier in damage risk assessment of RC prefabricated building structures in mining areas J Rusek, K Tajduś, K Firek, A Jędrzejczyk 2020 5th International Conference on Smart and Sustainable Technologies …, 2020 | 6 | 2020 |
| Effectiveness of preventive structural protection against mining impacts and Maintenance Management on technical state of masonry buildings A Jędrzejczyk, K Firek, W Kocot, D Rataj Archives of Civil Engineering 68 (2), 2022 | 1 | 2022 |
| Prediction of damage intensity to masonry residential buildings with convolutional neural network and support vector machine A Jędrzejczyk, K Firek, J Rusek, U Alibrandi Scientific Reports 14 (1), 16256, 2024 | | 2024 |
| Propozycja wykorzystania podejścia kosztowego do oceny efektywności ekonomicznej zabezpieczeń konstrukcyjnych budynków A Jędrzejczyk Kwartalnik Informacyjny MSRM 10 (2), 14-18, 2024 | | 2024 |
| Ocena efektywności zabezpieczeń profilaktycznych budynków murowanych na terenie górniczym LZW A Jędrzejczyk, K Firek, W Kocot, K Jurczykowska Przegląd Budowlany 93 (1-2), 2022 | | 2022 |
Janusz RusekAGH w Krakowie在 agh.edu.pl 的电子邮件经过验证
