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Fatemeh Rezaie

Biographic Data

ID6746079
NAMEFatemeh Rezaie
GIVEN NAMESFatemeh
FAMILY NAMERezaie
SIGNATUREREZAIE F
AFFILIATIONSKorea Institute of Geoscience and Mineral Resources
ORCID0000-0003-1771-6753
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Fine-tuning Small Language Models (SLMs) for autonomous web-based geographical information systems (AWebGIS)

    Mahdi Nazari Ashani, Ali Asghar Alesheikh et al.•ARTICLE•Cartography and Geographic…•2026•References: 1

  • Comparison of optimized data-driven models for landslide susceptibility mapping

    Open Access•Armin Ghayur Sadigh, Ali Asghar Alesheikh et al.•ARTICLE•Environment Development and…•2023

  • Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model

    Open Access•Azam Kadirhodjaev, Fatemeh Rezaie et al.•ARTICLE•ISPRS International Journal of…•2020

    Landslides can cause considerable loss of life and damage to property, and are among the most frequent natural hazards worldwide. One of the most fundamental and simple approaches to reduce damage is to prepare a landslide hazard map. Accurate prediction of areas highly prone to future landslides is important for decision-making. In the present study, for the first time, the group method of data handling (GMDH) was used to generate landslide susc…

No prominent works on this page.

  • Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model

    Open Access•Azam Kadirhodjaev, Fatemeh Rezaie et al.•ARTICLE•ISPRS International Journal of…•2020

    Landslides can cause considerable loss of life and damage to property, and are among the most frequent natural hazards worldwide. One of the most fundamental and simple approaches to reduce damage is to prepare a landslide hazard map. Accurate prediction of areas highly prone to future landslides is important for decision-making. In the present study, for the first time, the group method of data handling (GMDH) was used to generate landslide susc…

  • Comparison of optimized data-driven models for landslide susceptibility mapping

    Open Access•Armin Ghayur Sadigh, Ali Asghar Alesheikh et al.•ARTICLE•Environment Development and…•2023

  • Fine-tuning Small Language Models (SLMs) for autonomous web-based geographical information systems (AWebGIS)

    Mahdi Nazari Ashani, Ali Asghar Alesheikh et al.•ARTICLE•Cartography and Geographic…•2026•References: 1

Computer Science (2 works) · Data mining (2 works) · Geology (2 works) · Landslide (2 works) · Landslides and related hazards (2 works) · Machine learning (2 works) · Mathematics (2 works) · Receiver operating characteristic (2 works) · Statistics (2 works) · Artificial Intelligence (1 work)

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