Wykaz publikacji wybranego autora

Mateusz Zaręba, dr inż.

adiunkt

Faculty of Geology, Geophysics and Environmental Protection
WGGiOŚ-kgis

  • 2020

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / nauki o Ziemi i środowisku

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-9663-6593 orcid iD

ResearcherID: S-6242-2019

Scopus: 57203913942

PBN: 5e709298878c28a047398a38

OPI Nauka Polska

System Informacyjny AGH (SkOs)

Liczba pozycji spełniających powyższe kryteria selekcji: 17, z ogólnej liczby 18 publikacji Autora

1
  • Air pollution seasons in urban moderate climate areas through big data analytics
2
  • Analysis of air pollution migration during COVID-19 lockdown in Krakow, Poland
3
  • Big-data-driven machine learning for enhancing spatiotemporal air pollution pattern analysis
4
  • Data-driven and geostatistical approach for air pollution monitoring
5
  • Including effects of near-surface zone anisotropy for seismic statics calculations - Carpathian Inner-Mountain Basin case study
6
  • Nonlinear anisotropic diffusion techniques for seismic signal enhancing - Carpathian Foredeep study
7
  • Nonlinear anisotropic diffusion techniques for seismic signal enhancing – Carpathian Foredeep study
8
  • On including near-surface zone anisotropy for static corrections computation - Polish Carpathians 3D seismic processing case study
9
  • P-wave-only inversion of challenging walkaway VSP data for detailed estimation of local anisotropy and reservoir parameters: a case study of seismic processing in northern Poland
10
  • Some statistical consideration of azimuth and inclination angels determination based on walk-away VSP data
11
  • Some statistical consideration of azimuth and inclination angles determination based on walk – away VSP data in Python
12
  • The influence of meteorological factors and terrain on air pollution concentration and migration: a geostatistical case study from Krakow, Poland
13
  • The use of dip guided filtering and beam partitioned analysis for advanced seismic structure enhancing processing
14
  • 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, Poland
15
  • The use of S-guided CREP methodology for advanced seismic structure enhancing processing
16
  • Unsupervised machine learning techniques for improving reservoir interpretation using walkaway VSP and sonic log data
17
  • VSP polarization angles determination: Wysin-1 processing case study