The use of public data from low-cost sensors for the geospatial analysis of air pollution from solid fuel heating during the COVID-19 pandemic spring period in Krakow …

T Danek, M Zaręba - Sensors, 2021 - mdpi.com
In this paper, we present a detailed analysis of the public data provided by low-cost sensors
(LCS), which were used for spatial and temporal studies of air quality in Krakow. A PM …

[HTML][HTML] Analysis of air pollution migration during COVID-19 lockdown in Krakow, Poland

M Zaręba, T Danek - Aerosol and Air Quality Research, 2022 - aaqr.org
The historical analysis of particulate matter (PM) concentration proved that pro-clean-air
legislation and grassroots movement have a positive impact on air quality in Krakow …

Unsupervised Machine Learning Techniques for Improving Reservoir Interpretation Using Walkaway VSP and Sonic Log Data

M Zareba, T Danek, M Stefaniuk - Energies, 2023 - mdpi.com
In this paper, we present a detailed analysis of the possibility of using unsupervised
machine learning techniques for reservoir interpretation based on the parameters obtained …

Machine Learning Techniques for Spatio-Temporal Air Pollution Prediction to Drive Sustainable Urban Development in the Era of Energy and Data Transformation

M Zareba, S Cogiel, T Danek, E Weglinska - Energies, 2024 - mdpi.com
Sustainable urban development in the era of energy and digital transformation is crucial
from a societal perspective. Utilizing modern techniques for analyzing large datasets …

[HTML][HTML] P-Wave-Only Inversion of Challenging Walkaway VSP Data for Detailed Estimation of Local Anisotropy and Reservoir Parameters: A Case Study of Seismic …

M Zaręba, T Danek, M Stefaniuk - Energies, 2021 - mdpi.com
In this paper, we present a detailed analysis of walkaway vertical seismic profiling (VSP)
data, which can be used to obtain Thomsen parameters using P-wave-only inversion. Data …

[PDF][PDF] Unsupervised Machine Learning Techniques for Improving Reservoir Interpretation Using Walkaway VSP and Sonic Log Data. Energies 2023, 16, 493

M Zareba, T Danek, M Stefaniuk - 2023 - researchgate.net
In this paper, we present a detailed analysis of the possibility of using unsupervised
machine learning techniques for reservoir interpretation based on the parameters obtained …