| Forecasting water quality index in groundwater using artificial neural network M Kulisz, J Kujawska, B Przysucha, W Cel Energies 14 (18), 5875, 2021 | 50 | 2021 |
| The effect of changes in atmospheric conditions on the measured sound absorption coefficients of materials for scale model tests K Baruch, A Majchrzak, B Przysucha, A Szeląg, T Kamisiński Applied Acoustics 141, 250-260, 2018 | 21 | 2018 |
| Drought in acid soil increases aluminum toxicity especially of the Al-sensitive wheat J Siecińska, D Wiącek, B Przysucha, A Nosalewicz Environmental and experimental botany 165, 185-195, 2019 | 20 | 2019 |
| Determination of the probability distribution of the mean sound level W Batko, B Przysucha Archives of Acoustics 35 (4), 543–550, 2010 | 17 | 2010 |
| Analysis of the accuracy of uncertainty noise measurement B Przysucha, W Batko, A Szeląg Archives of Acoustics 40, 2015 | 14 | 2015 |
| Probability distributions of one-day noise indicators in the process of the type A uncertainty evaluation of long-term noise indicators B Przysucha, A Szeląg, P Pawlik Applied Acoustics 161, 107158, 2020 | 11 | 2020 |
| Fault diagnosis of machines operating in variable conditions using artificial neural network not requiring training data from a faulty machine P Pawlik, K Kania, B Przysucha Eksploatacja i Niezawodność 25 (3), 2023 | 9 | 2023 |
| Statistical analysis of the equivalent noise level W Batko, B Przysucha Archives of Acoustics 39 (2), 195-198, 2014 | 8 | 2014 |
| Random distribution of long-term indicators of variable emission conditions W Batko, B Przysucha Acta Physica Polonica A 119 (6A), 1086-1090, 2011 | 8 | 2011 |
| Impact of the noise indicators components correlation Ld, Le, Ln on the uncertainty of the long-term day–evening–night noise indicator Lden B Przysucha, P Pawlik, B Stępień, A Surowiec Measurement 179, 109399, 2021 | 6 | 2021 |
| Soil deformation after one water-drop impact–The effect of texture and soil moisture content R Mazur, M Ryżak, A Sochan, M Beczek, C Polakowski, B Przysucha, ... Geoderma 417, 115838, 2022 | 5 | 2022 |
| The use of apple pomace as a soil amendment enhances the activity of soil microorganisms and nitrogen transformations and affects crop growth A Nosalewicz, M Maksim, M Brzezińska, J Siecińska, A Siczek, ... Journal of Soil Science and Plant Nutrition 21 (3), 1831-1841, 2021 | 5 | 2021 |
| The Use of Deep Learning Methods in Diagnosing Rotating Machines Operating in Variable Conditions P Pawlik, K Kania, B Przysucha Energies 14 (14), 4231, 2021 | 5 | 2021 |
| Improving the Dependability of the ECG Signal for Classification of Heart Diseases B Przysucha, T Rymarczyk, D Wójcik, M Wos, A Vejar 2020 50th Annual IEEE-IFIP International Conference on Dependable Systems …, 2020 | 5 | 2020 |
| Forecasting Water Quality Index in Groundwater Using Artificial Neural Network. Energies, 14 (18), 5875 M Kulisz, J Kujawska, B Przysucha, W Cel | 3 | 2021 |
| Validation of a 1: 8 Scale Measurement Stand for Testing Airborne Sound Insulation A Szeląg, K Baruch-Mazur, K Brawata, B Przysucha, D Mleczko Sensors 21 (19), 6663, 2021 | 2 | 2021 |
| Representativeness of the measurement sample in the determination of the long-term noise indicators of traffic noise B Przysucha, A Szeląg, W Rosa, K Kania Measurement 180, 109550, 2021 | 2 | 2021 |
| Wpływ liczby punktów pomiarowych na niepewność wyznaczania izolacyjności akustycznej przegród budowlanych P Pawlik, B Przysucha Pomiary Automatyka Kontrola 60 (12), 1124-1126, 2014 | 2 | 2014 |
| Uncertainty analysis in acoustic investigations B Przysucha 6th International Conference of Young Scientists CSE, 124-129, 2013 | 2 | 2013 |
| Energy reduction with super-resolution convolutional neural network for ultrasound tomography D Wójcik, T Rymarczyk, B Przysucha, M Gołąbek, D Majerek, T Warowny, ... Energies 16 (3), 1387, 2023 | 1 | 2023 |
Tomasz RymarczykPhD, DSc, Director in Research and Development Center Netrix S.A. / Prof. UniversityZweryfikowany adres z rymarczyk.com
