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Kazimierz Bęcek

Biographic Data

ID9674701
NAMEKazimierz Bęcek
GIVEN NAMESKazimierz
FAMILY NAMEBęcek
SIGNATUREBĘCEK K
AFFILIATIONSFaculty of Geoengineering, Mining and Geology Wrocław University of Science and Technology Wrocław Poland
ORCID0000-0003-1532-9725
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Evaluating Water‐Induced Soil Erosion Using Machine Learning

    Open Access•Ihtisham Khan, Kashif Khan et al.•ARTICLE•Land Degradation and Development•2026

    Soil erosion is a significant environmental concern that threatens agricultural activities, reduces soil fertility, and eventually impacts productivity. Assessing soil erosion is essential for effective planning and conservation initiatives in a basin or watershed. This study evaluates water‐induced soil erosion susceptibility using machine learning models, with a focus on the comparative performance of Random Forest (RF), k‐Nearest Neighbors (kN…

No prominent works on this page.

  • Evaluating Water‐Induced Soil Erosion Using Machine Learning

    Open Access•Ihtisham Khan, Kashif Khan et al.•ARTICLE•Land Degradation and Development•2026

    Soil erosion is a significant environmental concern that threatens agricultural activities, reduces soil fertility, and eventually impacts productivity. Assessing soil erosion is essential for effective planning and conservation initiatives in a basin or watershed. This study evaluates water‐induced soil erosion susceptibility using machine learning models, with a focus on the comparative performance of Random Forest (RF), k‐Nearest Neighbors (kN…

Computer Science (1 work) · Environmental Science (1 work) · Erosion (1 work) · Geology (1 work) · Geomorphology (1 work) · Groundwater and Watershed Analysis (1 work) · Hydrology and Sediment Transport Processes (1 work) · Soil erosion and sediment transport (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae