| Determination of random pore model parameters for underground coal gasification simulation S Iwaszenko, N Howaniec, A Smoliński Energy 166, 972-978, 2019 | 46 | 2019 |
| Detection of natural gas leakages using a laser-based methane sensor and uav S Iwaszenko, P Kalisz, M Słota, A Rudzki Remote Sensing 13 (3), 510, 2021 | 43 | 2021 |
| Use of machine learning algorithms to assess the state of rockburst hazard in underground coal mine openings Ł Wojtecki, S Iwaszenko, DB Apel, M Bukowska, J Makowka Journal of Rock Mechanics and Geotechnical Engineering 14 (3), 703-713, 2022 | 34 | 2022 |
| Modelling of underground coal gasification process using CFD methods J Wachowicz, JM Łączny, S Iwaszenko, T Janoszek, M Cempa-Balewicz Archives of Mining Sciences 60 (3), 663-676, 2015 | 24 | 2015 |
| Equilibrium model of steam gasification of coal M Cempa-Balewicz, MJ Łączny, A Smoliński, S Iwaszenko Journal of Sustainable Mining 12 (2), 21-28, 2013 | 22 | 2013 |
| Model tests of the coal gasification process J Wachowicz, T Janoszek, S Iwaszenko Archives of Mining Sciences 55 (2), 249-262, 2010 | 21 | 2010 |
| An attempt to use machine learning algorithms to estimate the rockburst hazard in underground excavations of hard coal mine Ł Wojtecki, S Iwaszenko, DB Apel, T Cichy Energies 14 (21), 6928, 2021 | 17 | 2021 |
| Study on the possibilities of treatment of combustion by-products from fluidized bed boilers into a product devoid of free calcium oxide JM Łączny, S Iwaszenko, K Gogola, A Bajerski, T Janoszek, A Klupa, ... Journal of Sustainable Mining 14 (4), 164-172, 2015 | 16 | 2015 |
| Texture features for bulk rock material grain boundary segmentation S Iwaszenko, A Smoliński Journal of King Saud University-Engineering Sciences 33 (2), 95-103, 2021 | 15 | 2021 |
| New method for analysis of the temporomandibular joint using cone beam computed tomography S Iwaszenko, J Munk, S Baron, A Smoliński Sensors 21 (9), 3070, 2021 | 14 | 2021 |
| Application of deep learning in petrographic coal images segmentation S Iwaszenko, L Róg Minerals 11 (11), 1265, 2021 | 12 | 2021 |
| Application of texture features and machine learning methods to grain segmentation in rock material images K Nurzynska, S Iwaszenko Image Analysis and Stereology 39 (2), 73-90, 2020 | 10 | 2020 |
| Using Mathematica software for coal gasification simulations–Selected kinetic model application S Iwaszenko Journal of sustainable mining 14 (1), 21-29, 2015 | 7 | 2015 |
| Modelling test of cavity growth during underground coal gasification process using CFD method K Nurzyńska, T Janoszek, S Iwaszenko 2014 International Conference on Information Science, Electronics and …, 2014 | 7 | 2014 |
| Rock grains segmentation using curvilinear structures based features S Iwaszenko, K Nurzynska Real-Time Image Processing and Deep Learning 2019 10996, 238-245, 2019 | 6 | 2019 |
| Database application in visualization of process data K Nurzyńska, S Iwaszenko, T Choroba Beyond Databases, Architectures, and Structures: 10th International …, 2014 | 6 | 2014 |
| Czynniki wpływające na skład chemiczny i wartość opałową gazu uzyskiwanego w procesie podziemnego zgazowania węgla A Żogała, J Kabiesz, S Iwaszenko Przegląd Górniczy 69 (6), 89--95, 2013 | 6 | 2013 |
| Zastosowanie pakietu FLUENT do symulacji procesu podziemnego zgazowania węgla: koncepcja metody J Wachowicz, MJ Łączny, S Iwaszenko, T Janoszek, M Cempa-Balewicz Przegląd Górniczy 69 (2), 64--71, 2013 | 6 | 2013 |
| Process kinetics of the carbonation of fly ashes: A research study MJ Łączny, S Iwaszenko, A Smoliński Materials 14 (2), 253, 2021 | 5 | 2021 |
| Estimation of dense plasma temperature formed under shock wave cumulation V Sobolev, EC Cabana, N Howaniec, R Dychkovskyi, B Jura, A Bąk, ... Materials 13 (21), 4923, 2020 | 4 | 2020 |
Adam SmolinskiGlowny Instytut Gornictwa - Central Mining Institute, PolandZweryfikowany adres z gig.katowice.pl
