Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shafapourtehrany, Mahyat"'
Autor:
Ahmadi, Mohsen, Nawaz, Muhammad Ali, Asadi, Hamed, Hemami, Mahmoud-Reza, Naderi, Morteza, Shafapourtehrany, Mahyat, Shabani, Farzin
Publikováno v:
Diversity and Distributions, 2024 May 01. 30(5), 1-15.
Externí odkaz:
https://www.jstor.org/stable/48769306
Autor:
Ahmadi, Mohsen, Shafapourtehrany, Mahyat, Özener, Haluk, Yilmaz, Orkut Murat, Kalantar, Bahareh, Shabani, Farzin
Publikováno v:
In Environmental Technology & Innovation August 2024 35
Autor:
Shabani, Farzin, Shafapourtehrany, Mahyat, Ahmadi, Mohsen, Kalantar, Bahareh, Özener, Haluk, Clancy, Kieran, Esmaeili, Atefeh, da Silva, Ricardo Siqueira, Beaumont, Linda J., Llewelyn, John, Jones, Simon, Ossola, Alessandro
Publikováno v:
In Environmental Technology & Innovation November 2023 32
Autor:
Shafapourtehrany, Mahyat1 (AUTHOR) mahyat.shafapour@boun.edu.tr, Rezaie, Fatemeh2,3,4 (AUTHOR) rezaie@kigam.re.kr, Jun, Changhyun5 (AUTHOR) cjun@cau.ac.kr, Heggy, Essam6,7 (AUTHOR) heggy@usc.edu, Bateni, Sayed M.4 (AUTHOR) mpanahi@hawaii.edu, Panahi, Mahdi4 (AUTHOR), Özener, Haluk1 (AUTHOR) ozener@boun.edu.tr, Shabani, Farzin8 (AUTHOR) fshabani@qu.edu.qa, Moeini, Hamidreza9 (AUTHOR) hr.moeini@srbiau.ac.ir
Publikováno v:
Remote Sensing. Sep2023, Vol. 15 Issue 18, p4501. 26p.
Autor:
Shafapourtehrany, Mahyat, Yariyan, Peyman, Özener, Haluk, Pradhan, Biswajeet, Shabani, Farzin
Publikováno v:
In International Journal of Disaster Risk Reduction September 2022 79
Autor:
Shafapourtehrany, Mahyat1 (AUTHOR), Batur, Maryna2 (AUTHOR), Shabani, Farzin3 (AUTHOR) fshabani@qu.edu.qa, Pradhan, Biswajeet4,5 (AUTHOR), Kalantar, Bahareh6 (AUTHOR), Özener, Haluk1 (AUTHOR)
Publikováno v:
Remote Sensing. Apr2023, Vol. 15 Issue 7, p1939. 32p.
Autor:
Shafapourtehrany, Mahyat1 (AUTHOR) mahyat.shafapour@boun.edu.tr
Publikováno v:
Fire (2571-6255). Jan2023, Vol. 6 Issue 1, p22. 21p.
Akademický článek
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Autor:
SHAFAPOURTEHRANY, Mahyat
Publikováno v:
Volume: 4, Issue: 2 317-327
Mühendislik Bilimleri ve Araştırmaları Dergisi
Mühendislik Bilimleri ve Araştırmaları Dergisi
Wildfire susceptibility mapping can be affected by several factors. One of the most influential factors is inventory data, its extent, format, and reliability. This study aims to evaluate if the Support Vector Machine (SVM) has the capability to dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::9a5a016a0ec3ad6c6b280dcb79d12c69
https://dergipark.org.tr/tr/pub/bjesr/issue/73170/1174006
https://dergipark.org.tr/tr/pub/bjesr/issue/73170/1174006