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 …
(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 …
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 reservoir interpretation based on the parameters obtained …
On including near-surface zone anisotropy for static corrections computation—Polish Carpathians 3D seismic processing case study
M Zaręba, T Danek, J Zając - Geosciences, 2020 - mdpi.com
Obtaining the most accurate and detailed subsurface information from seismic surveys is
one of the main challenges for seismic data processing, especially in the context of complex …
one of the main challenges for seismic data processing, especially in the context of complex …
[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 …
machine learning techniques for reservoir interpretation based on the parameters obtained …